vehicle dynamics thesis

BACHELOR’S THESIS2008:010 HIP

Universitetstryckeriet, Luleå

Johan Andersson

Vehicle dynamics- optimization of Electronic Stability Program for sports cars

B.Sc PROGRAMME IN AUTOMOTIVE ENGINEERING

Luleå University of Technology Department of Applied Physics and Mechanical Engineering

Division of Computer Aided Design

2008:010 HIP • ISSN: 1404 - 5494 • ISRN: LTU - HIP - EX - - 08/010 - - SE

Abstract This thesis was performed during the spring of 2008 at the Bosch test facility in Arjeplog. The

thesis describes how to optimize the intervention of an ESP system for a sports car. The

problem with ESP today is that it is very often defensively programmed and affects the feel

when the car is driven. What to be researched in this thesis is if an optimization of the

program can be done that allows greater body slip without affecting the vehicle dynamics and

stability in a negative way. The thesis describes programming and simulation of ESP, the

code for ABS, TCS and ESP has been written and then tested in the simulation environment

where after the parameters and code have been changed in attempt to achieve a ESP that

allows greater body slip without compromising the stability.

The ESP has been created with several setups depending on wanted behaviour and

intervention. The results from the simulations shows that greater body slip is possible without

affecting stability, the feel when driving is more or less similar as without ESP and TCS. The

measurements prove that the lap times are faster with ESP in race mode compared to only

ABS and TCS. Worth to be mentioned is that a simulation is a reproduction of a real

measurement, results and feel can differ from the reality when testing a vehicle.

Keywords: ABS, ESP, TCS, vehicle dynamics, oversteer, understeer, lateral acceleration,

yaw rate, steady-state cornering

Sammanfattning Detta examensarbete genomfördes under våren 2008 i Arjeplog på Bosch testanläggning.

Arbetet beskriver hur ingripande av ett antisladdsystem kan optimeras för en sportbil.

Problemet med ESP idag är att det ofta är väldigt defensivt inställt och påverkar känslan i

körningen av bilar. Det som undersöks är om en optimering av ESP kan göras som tillåter

större driftvinklar utan att påverka stabiliteten. Examensarbetet behandlar programmering och

simulering av antisladdsystem, kod för ABS, TCS och ESP har skrivits som sedan testats i

simulatormiljö varefter parametrar och koden ändrats för att försöka uppnå ett stabilt system

som tillåter ökade driftvinklar jämfört med standard.

ESP har skapats med olika inställningar beroende på önskat uppträdande och ingrepp.

Resultaten från simuleringen visar att ökade driftvinklar är möjliga utan att påverka

fordonsstabiliteten, känslan i körningen är nästan densamma som utan ESP och TCS.

Mätningarna visar att varvtiderna är lägre med ESP i raceläge jämfört med endast ABS och

TCS, ESP i normalläge samt endast ABS. Dock skall nämnas att en simulering är en

simulation av en verklig mätning, resultat och känsla kan vara annorlunda vid test på ett

fordon.

Nyckelord: ABS, ESP, TCS, fordonsdynamik, överstyrning, understyrning, sidoacceleration,

girvinkelhastighet (yaw rate), stationär kurvtagning

Preface This is the thesis and final course of my three years to Bachelor of Automotive Engineering at

Luleå University of Technology. One of my biggest interests is cars, it has first of all been

very interesting to perform the education in Luleå, but the best part has of course been to

finalize all the theoretic knowledge in a thesis in a subject that I feel is very interesting.

During my time in Arjeplog where I except from my thesis also have worked some for

Arjeplog Test Management AB and Bosch with testing and presentations, I have learned a lot.

It has been great to do my thesis at such an interesting company and facility, this has given

me great knowledge in how the testing and developing of a new production car is performed.

I would like to thank Lars Holmgren, executive manager of ATM for giving me this

possibility to do my thesis at the Bosch facility.

Thanks to Jean-Marc Jacquin who was my examiner at ATM and helped me whenever I had

problems I could not solve by myself.

Thanks to Ove Isaksson that has been my examiner at Luleå University of Technology and

helped me with all kind of questions and thoughts throughout the thesis.

As well thanks to Frederic Potdevin at ATM that helped me with some questions about

simulation. David Holmlund, Prashant Rana and Håkan Jonsson at ATM, thanks for the help

with the ABS code in the beginning.

Many thanks to Erik Hellström at Linköping University for all the help with the simulation

environment and the measurements.

Last of all, thanks to my girlfriend, my family and friends for being there for me all the time.

Umeå 08-06-03

Johan Andersson

Notation

Variables and parameters Symbol Description Unit

ax Lateral acceleration [m/s2]

az Longitudinal acceleration [m/s2]

αf Side slip angle front tire [rad]

αr Side slip angle rear tire [rad]

β Body slip angle [rad]

cαf Front tire cornering stiffness [kN/rad]

cαr Rear tire cornering stiffness [kN/rad]

δf Steering wheel angle [rad]

fxf Front tire longitudinal force [N]

fxr Rear tire longitudinal force [N]

fzf Front tire lateral force [N]

fzr Rear tire lateral force [N]

g Gravity [9,82 m/s2]

k1 Body slip regulator coefficient

k2 Yaw rate regulator coefficient

Kus Understeer coefficient [rad]

L Wheelbase [m]

Lf Distance from CoG to front axle [m]

Lr Distance from CoG to rear axle [m]

m Total vehicle weight [kg]

mf Weight front axle [kg]

mr Weight rear axle [kg]

R Turning radius [m]

v1-4 Wheel speed [rad/s]

v Vehicle speed [km/h]

vx Lateral vehicle speed [km/h]

vz Vehicle longitudinal speed [km/h]

Ψ Yaw rate [rad/s]

Glossary

ABS Antilock Braking System

CoG Centre of Gravity

ECU Electronic Control Unit

ESP Electronic Stability Program

NHTSA National Highway Traffic Safety Administration

TCS Traction Control System

VTI Statens väg - och transportforskningsinstitut

Characteristic speed The speed when the steer angle required to negotiate a turn is

equal to 2L/R, typical for an understeered vehicle.

Critical speed The speed at which the steerangle required to negotiate any turn is

zero, typical for an oversteered vehicle.

Understeer The front of the car slides towards the outside of the bend.

Oversteer Describes the situation when the rear of the vehicle starts to slide

outwards, i.e. the car rotates faster round its vertical axis than

required to take corners it is supposed to make.

Table of Contents 1. Introduction ............................................................................................................................ 1

1.1 Background ....................................................................................................................... 1

1.2 Problem ............................................................................................................................. 1

1.3 Goal ................................................................................................................................... 2

1.4 Structure of thesis for the reader ....................................................................................... 2

2. Method ................................................................................................................................... 3

2.1 Basic motor-vehicle dynamics .......................................................................................... 3

2.1.1 2-Wheel bicycle model ................................................................................................... 4

2.1.2 Friction circle ................................................................................................................. 7

2.2 The construction and function of the ESP system ............................................................. 8

2.3 Simulation software ........................................................................................................... 9

2.4 Programming ..................................................................................................................... 9

2.4.1 Regulator shell ............................................................................................................... 10

2.4.2 Measurement sampling ................................................................................................. 10

2.4.3 ABS ............................................................................................................................... 10

2.4.4 TCS ................................................................................................................................ 11

2.4.5 ESP ................................................................................................................................ 11

2.5 Testing ............................................................................................................................. 12

2.6 Simulation ....................................................................................................................... 13

2.6.1 ABS ............................................................................................................................... 13

2.6.2 TCS ................................................................................................................................ 14

2.6.3 ESP ................................................................................................................................ 14

3. Results .................................................................................................................................. 17

4. Conclusion ............................................................................................................................ 18

5. Discussion ............................................................................................................................ 19

References ................................................................................................................................ 20

Appendix A ................................................................................................................................ 1

ABS ............................................................................................................................................ 1

TCS ............................................................................................................................................. 4

ESP ............................................................................................................................................. 6

Appendix B .............................................................................................................................. 10

Regulator shell .......................................................................................................................... 10

MATLAB measurement sampling ........................................................................................... 12

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1. Introduction

This chapter gives a brief history about the ESP system. The problem and the goal

of the thesis is presented as well as the structure of the report.

1.1 Background

The ESP was invented and set in to serial production by Robert Bosch GmbH in 1995. The

system improves vehicle stability by intervening if the car gets into a skid and helps the driver

to maintain the vehicle in the desired direction. Whether the car becomes over- or under

steered during a corner, the ESP maintains the vehicle on its course by either braking one or

more wheels to correct it. Today ESP more and more becomes standard equipment in many

countries. In the USA all new production cars shall be equipped with ESP in 2012.

According to a study made by the University of Cologne shows that 4.000 lives can be saved

and 100.000 accidents avoided every year if all European cars have ESC. Data from Mercedes

shows that vehicles standard equipped with ESP has resulted in a 29 percent reduction in

single-vehicle crashes and 15 percent fewer crashes overall. Based on these figures, if ESP

was standard equipment on cars in the United States as many as 5,000 lives and nearly $35

billion in economic losses annually could be save every year. The Swedish VTI study

indicates that ESP was found to reduce accidents with personal injuries [1].

1.2 Problem How can the Electronic Stability Program be optimized for a sports car?

Some people that use their cars with ESP at for example track days believe that the system

interferes and makes the driving less enjoyable and slower compared with the system of. They

do want the extra safety that the ESP gives them, but they prefer the system to allow more slip

and a softer more progressive intervene.

More slip might generate a hard intervene of the system to prevent a total loss of control, that

might be a problem that is tough to solve. This will be investigated throughout the thesis if it

is possible to solve this. This setup of the ESP may not be recommended for public roads,

only to track days and special occasions.

One more problem is that the ESP system heats the brakes if the driver pushes to the limit of

grip lap after lap on a track, the program can make the brake pads to almost melt because of

the heat. This can lead to brake failure with metal against metal because the brake pads are

worn out. In this case safety programs like ESP can become a danger. If you had a more

forgiving ESP that allows some extra slip and a softer intervene, this would lead the driver to

better learn to control the vehicle and to save the brake pads from wearing out prematurely.

With the type of method for this thesis it is though not possible to measure or calculate the

wear of the brake pads.

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1.3 Goal

The goal was to create an ESP code that could be implemented and tested in a simulation

software. The main task was to define how to optimize ESP for a sports car. Depending on

surface, the friction coefficient mue varies from about 1,0 on asphalt to about 0,1 on polished

ice. Based from these conditions the ESP must have different setups for different friction

conditions.

In this thesis these subjects will be presented with programming and simulations for each

surface, asphalt and snow that will be used in the simulations, ESP will be programmed with

different settings depending on preferred characteristics:

Low mue

Ice – zero slip, zero wheel spin

Snow – little slip, little wheel spin

Race – moderate slip, moderate wheel spin

Off – ESP does not intervene

High mue

Normal – zero slip, zero wheel spin

Sport – little slip, little wheel spin

Race – moderate slip, moderate wheel spin

Off – ESP does not intervene

1.4 Structure of thesis for the reader

Chapter 2 presents basic vehicle dynamics to explain the physics that affects a car.

Physics is shown with the 2-wheel bicycle model and the friction circle.

The ESP system is shown in detail as well as the programming, testing and simulation

procedures of ABS, TCS and ESP are described in its context.

Chapter 3 presents the results that have been achieved about the subject.

Chapter 4 summarizes the conclusions that have been drawn upon the presented

results of the thesis.

Chapter 5 contains discussion about personal reflections of the work and possible

future work of the study in this thesis.

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2. Method

Basic vehicle dynamics is presented in this chapter to explain the physics that

affects a car. The ESP system is shown in detail as well as the testing, programming and

simulation procedures of the system are described in its context.

Vehicle handling concerns two basic issues, controlling the direction of motion of the vehicle

and to stabilize the direction of the vehicle against external disturbances. For the

understanding of vehicle dynamics it is critical to find out which forces that affects on the

vehicle. When accelerating, braking and turning a vehicle is under influence of forces in

longitudinal, transversal and vertical axes. A vehicle has six degrees of freedom, these three

translation axes mentioned before and also rotation about these axes [2].

2.1 Basic motor-vehicle dynamics Yaw is the rotation around the vertical axis of the vehicle. Pitch is the rotation around the

transverse axis of the vehicle. Roll is the rotation of the vehicle around the longitudinal axis.

Pitch and control are controlled by the suspension of the vehicle. Each wheel is affected by a

vertical force, a motive force on the driven wheels and a braking force when braking on all

wheels that is affecting in the opposite direction to the motive force. If the car starts to slide

on any of the wheels, this means that the lateral, motive or braking force exceeds the force

that that wheel can handle and then slides in transverse and or longitudinal axis. See figure 1

below.

Figure 1. Forces affecting a vehicle.

During steering the response of the car depends on its characteristics and speed, the car can be

neutral, under or over-steered at the limit of friction. Understeer is when the vehicle wants to

go straight ahead in a corner, oversteer is when the car turns more than wanted, or more than

the angle of the curve that is taken, figure 2.

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Figure 2. Oversteering and understeering.

2.1.1 2-Wheel bicycle model

For the analysis of transient motion and steady state handling the model of the car is

simplified as a bicycle model [2]. The axes are chosen according to axes in Racer simulation

for the figure below.

Lf

Lr

LRαr

δ - αf

α r + δ - αf = L/R

αr

αf

δ f

Fxr

Fzr

vx

vvz

Fzf

Fxf

z

xβ

Figure 3. Simplified bicycle model for transient motion analysis and steady state handling.

To a great extent, the vehicle characteristics depend on the relationship between the front tires

and their slip angles, αf and αr. The relationship for the steering angle 𝛿𝑓 , the turning radius

𝑅, the wheel base 𝐿, slip angles αf and αr is explained by (2.1). The equation explains that to

make a given curve the required steer angle 𝛿𝑓 is a function not only affected by the turning

radius 𝑅, also the slip angles αf and αr affects steering ability.

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𝛿𝑓 =𝐿

𝑅+ 𝛼𝑓 − 𝛼𝑟 (2.1)

To calculate the slip angles αf and αr, the side forces on the wheels and the cornering stiffness

must be known. For small steer angles, the cornering forces are given by

𝐹𝑥𝑓 =𝑚

𝑔

𝑣2

𝑅

𝐿𝑓

𝐿 (2.2)

𝐹𝑥𝑟 =𝑚

𝑔

𝑣2

𝑅

𝐿𝑟

𝐿 (2.3)

The total weight of the vehicle is 𝑚, 𝑔 is the acceleration due to gravity, 𝑣 is the velocity of

the vehicle. See figure 3 above for the other parameters. The load on each tire is expressed by

equation (2.4) and (2.5).

𝑚𝑓 =𝑚𝑙𝑟

2𝐿 (2.4)

𝑚𝑟 =𝑚𝑙𝑓

2𝐿 (2.5)

(2.2) and (2.3) can be rewritten as

𝐹𝑥𝑓 = 2𝑚𝑓𝑣2

𝑔𝑅 (2.6)

𝐹𝑥𝑟 = 2𝑚𝑟𝑣2

𝑔𝑅 (2.7)

The slip angles and cornering forces of the tires may within a certain range considered to be

linearly correlated with a constant tire cornering stiffness for front and rear tires, 𝐶𝛼𝑓 and 𝐶𝛼𝑟 .

According to [3], the slip angles are given by

𝛼𝑓 =𝐹𝑥𝑓

2𝐶𝛼𝑓=

𝑚𝑓

𝐶𝛼𝑓

𝑣2

𝑔𝑅 (2.8)

𝛼𝑟 =𝐹𝑥𝑟

2𝐶𝛼𝑟=

𝑚𝑟

𝐶𝛼𝑟

𝑣2

𝑔𝑅 (2.9)

By substituting equation (2.8) and (2.9) into equation (2.1), the steer angle 𝛿𝑓 to take a given

curve is equation (2.10). 𝐾𝑢𝑠 is the understeer coefficient and 𝑎𝑥 is the lateral acceleration.

𝛿𝑓 =𝐿

𝑅+ 𝐾𝑢𝑠

𝑎𝑥

𝑔 (2.10)

For the steady state handling behaviour of a vehicle equation (2.10) is fundamental. 𝐾𝑢𝑠 is a

function of the tire cornering stiffness and the weight distribution on the front and rear axle as

equation (2.11).

𝐾𝑢𝑠 =𝑚𝑓

𝑐𝛼𝑓−

𝑚𝑟

𝑐𝛼𝑟 (2.11)

The understeer coefficient depends on the relationship between the front and rear slip angles,

depending on the value the steady state handling characteristics can be sorted into three types,

6

neutral steering, oversteer and understeer. The normal understeer coefficient value for a

passenger car is in the range of 0,3 radians, that means that most of the cars are designed so

that they understeer in the linear lateral acceleration range [3].

𝐾𝑢𝑠 = 0 = Neutral steering

𝐾𝑢𝑠 < 0 = Oversteered car

𝐾𝑢𝑠 > 0 = Understeered car

When the slip angles αf and αr for front and rear tires are equal the steer angle to take a given

curve is shown by equation (2.12) This means that the vehicle is neutral steered, when grip is

lost the vehicle slides as much front as rear.

𝛿𝑓 =𝐿

𝑅 (2.12)

If the vehicle understeers, if 𝐾𝑢𝑠 > 0, it means that the slip angle αf is greater than αr. Typical

for an understeered vehicle is that the steering wheel angle must be increased when

accelerating in a turn with a constant radius, the vehicle wants to go straight ahead in a corner.

The term characteristic speed 𝑣𝑐𝑕𝑎𝑟 in equation (2.13) is used to describe the phenomenon of

a understeered vehicle, it is the speed at which the required steering wheel angle to perform a

curve is equal to 2L/R, according to [2].

𝑣𝑐𝑕𝑎𝑟 = 𝑔𝐿

𝐾𝑢𝑠 (2.13)

If a vehicle is oversteered, if 𝐾𝑢𝑠 < 0, it means that the slip angle of the rear wheel αr is

greater than the front wheel αf. This means that the rear end of the vehicle slides more than

the front, which demands the driver to countersteer in order to keep the vehicle in the desired

course. For an oversteered vehicle the term critical speed 𝑣𝑐𝑟𝑖𝑡 is used to describe the

behaviour at which the steering wheel angle is zero to take any turn (2.14).

𝑣𝑐𝑟𝑖𝑡 = 𝑔𝐿

−𝐾𝑢𝑠 (2.14)

The body slip of a vehicle can be calculated by equation (2.15), where 𝑣𝑥 is the lateral

velocity and 𝑣𝑧 is the longitudinal velocity. Body slip is one of two key parameters required to

create vehicle stability regulation.

𝛽 = tan−1 𝑣𝑥

𝑣𝑧 (2.15)

Typical behaviour for ESP regulating a vehicle is a body slip close to zero.

𝛽𝑛𝑜𝑚 = 0 (2.16)

The yaw rate 𝛹𝑛𝑜𝑚 can be calculated with equation (2.17) if the vehicle speed, understeer

coefficient, wheel base, gravity and steering wheel angle are known.

𝛹𝑛𝑜𝑚 =𝑣

𝐿+𝐾𝑢𝑠 𝑣2/𝑔𝛿𝑓 (2.17)

7

According to [2] and [4] the simplest method to create an ESP system is to proportionally

regulate 𝛽 and 𝛹, equation (2.18). k1 is the body slip regulator coefficient, k2 is the yaw rate

regulator coefficient, if k1 = 0 gives yaw control only, k2 = 0 gives only body slip control.

∆𝑀 = 𝑘1 𝛽𝑛𝑜𝑚 − 𝛽 + 𝑘2(𝛹𝑛𝑜𝑚 −𝛹) (2.18)

If oversteer occurs, the ESP must create a straightening momentum by braking the outer

forward wheel. If understeer occurs, the ESP brakes the inner real wheel creating a turning

momentum.

By this simplified bicycle model it is now possible to create a ESP based on the equations that

where derived from the model.

2.1.2 Friction circle The friction circle shows the lateral and longitudinal acceleration of a vehicle, when no

acceleration, braking or turning, there is no measurement, the pointer is in the cross section of

the cross [5]. It is a good example to show of how the ESP can be optimized. The interesting

part of the friction circle is the boundary area of the circle, i.e. on the limit of grip for the

vehicle. If the tires of the car lose the grip at 10 m/s2 on asphalt, this limit area is where the

optimization shall be done for the ESP system. Longitudinal acceleration is during braking

and acceleration and lateral acceleration is during cornering. When the acceleration exceeds

the limit of the grip ESP intervenes to stabilize the vehicle. The friction circle figure below

shows a typical plot of a car accelerating, braking and cornering on a race track.

Acceleration10 m/s2

Brake10 m/s2

10 m/s210 m/s2

Figure 4. Sampled measurement for friction circle

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2.2 The construction and function of the ESP system The key functions for the ESP are to improve directional stability and keeping the vehicle on

the track under all operating conditions. The ESP system is built into the brake system of the

vehicle. The hydraulic modulator is connected to the brake master cylinder and functions as

the central component of electronic brake systems. Control commands from the ECU are

converted by the hydraulic modulator and the solenoid valves are opened and closed to

control the pressures of the brakes in the vehicle. By braking individual wheels the stability of

the vehicle maintains as desired and keeping the vehicle in the given direction. Also by

accelerating the driven wheels, the ESP can regulate stability [3] [6].

As the ESP function is integrated with the ABS and TCS, the system uses the same

components as those systems. The parts of the ESP are:

Hydraulic modulator with ESP ECU and integrated hydraulic valves (1)

Wheel brakes and wheel-speed sensors (2)

Steering wheel angle sensor (3)

Yaw sensor with acceleration sensor (4)

Engine management ECU (5)

Brake master cylinder (6)

Figure 5. The components of the ESP.

The input parameters of the ESP system are:

Longitudinal velocity

Lateral acceleration

Yaw rate

Brake pressure

Throttle pedal position

Steering wheel angle

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The output parameters that control the directional stability are:

Individual wheel braking

Engine management, acceleration or reducing output power

The ESP measures steering wheel angle, lateral acceleration and yaw rate. Based on these

inputs it records and calculates the estimated vehicle direction and behaviour, suppose an

intervention is needed, if the vehicle over or understeers for example one or more wheels are

braked to correct the directional stability according to the float schematics in figure 6.

ESP

Measurement of steering wheel angle

and wheel speed

Measurement of lateral acceleration

Measurement of yawrate

Recording of the intendedvehicle direction

Calculation of the deviation of wantedand actual vehicle behaviour

Decision if ESP intervention is needed to stabilize vehicle

To counter understeer, brakeforce is applied on inner rear

wheel

To counter oversteer brakeforce is applied at the outer

front wheel

Recording of the actualvehicle behaviour

Figure 6. The function of the ESP

2.3 Simulation software

For the simulations in this thesis the software Racer release 0.5.0 has been used. This version

is free ware but not open source for commercial use, but the source code has possibilities to

be modified and to implement your own code for non commercial purposes [7]. The

simulation has realistic vehicle dynamics which was important to the decision of simulation

tool. The 0.5.0 version of Racer has to be run in Linux, which was done for the thesis.

2.4 Programming The language that is used in Racer is C++ [8]. The programming has been created in different

libraries for each program. In the development of active safety systems in cars as ABS, TCS

and ESP, the first that was set into serial production was ABS in 1978 by Bosch [6]. For the

thesis the first code to be implemented was ABS. Each code is independent, but ABS & TCS

are integrated into the ESP. Therefore ABS and TCS had to be created first in order and then

ESP.

10

2.4.1 Regulator shell

The Racer simulation software has been used at the Linköping University and through them

the foundation for the regulator was given, with the input and output signals that was required

to implement code for ABS, TCS and ESP.

Input signals

PedalLevel // Accelerator pedal level [0, 1000]

BrakeLevel // Brake pedal level [0, 1000]

SteerAngle // Steer angle [rad]

Time // Time [ms]

A_x // Lateral acceleration [m/s2]

YawRate // Yaw rate [rad/s]

// The rotational speed of the wheels [rad/s]

omega_1 // 1 - FrontLeft wheel

omega_2 // 2 - FrontRight wheel

omega_3 // 3 - RearLeft wheel

omega_4 // 4 - RearRight wheel

Output signals

PedalLevel // Accelerator pedal level [0, 1000]

BrakeLevel // Brake pedal level [0, 1000]

BrakeFactors (0, 0, 0, 0) // Brake scaling (FrontLeft, FrontRight, RearLeft, RearRight) [%]

2.4.2 Measurement sampling

All simulations have been logged with MATLAB, the measurements have been sampled and

visualized with MATLAB m-files for the specific measurement. All this MATLAB data

acquisition for the Racer Simulation was created by Erik Hellström, Linköping University.

See appendix B for m-file.

For all measurements, [km/h] was chosen as the unit for velocity instead of SI-units, as it is

often used as the unit for speed when referring to vehicles, also [ ̊ ] was chosen as the unit for

the steering wheel angle.

2.4.3 ABS

For the code of ABS the important input signals are wheel speed and brake level. For output

brake factors are the key parameters. By measuring the speed of the wheels and the velocity

of the car, if any of the wheels go below a value of speed for the other wheels the brake factor

for that wheel is reduced in order to avoid locking the wheel. In reality on a vehicle the wheel

speed are measured wheel by wheel, if the derivative for the wheel speed is too steep the

brake pressure is reduced [6].

11

if Brake

if FrontLeft < RearLeftBrakePressure FrontLeft = 0%

else FrontRight > RearRightBrakePressure FrontRight = 100%

if RearLeft < FrontLeftBrakePressure RearLeft = 0%

if RearRight < FrontRightBrakePressure RearRight = 0%

If FrontRight < RearRightBrakePressure FrontRight = 0%

else FrontLeft > RearLeftBrakePressure FrontLeft = 100%

else RearLeft > FrontLeftBrakePressure RearLeft = 100%

else RearRight > FrontRightBrakePressure RearRight = 100%

if Throttle

if RearLeft > FrontLeft X 1,02-1,35Throttle = 20-50%

if RearRight > FrontRight X 1,02-1,35Throttle = 20-50%

else RearRight < FrontRight X 1,02-1,35Throttle = PedalLevel

else RearLeft < FrontLeft X 1,02-1,35Throttle = PedalLevel

Figure 7. Float schematics ABS code.

2.4.4 TCS

The code for the TCS only intervenes with engine management to regulate the driven wheels

when accelerating. If brakes are used as well on TCS some noise occurs when the system is

activated. For this part the goal was to see if a TCS could work with expected results even

without brake intervention in the code. The TCS was programmed with several setups with 2-

35% slip depending on conditions and preferred behaviour.

Figure 8. Float schematics TCS code.

2.4.5 ESP

The code for ESP has understeer and oversteer control. The important input signals for ESP

are A_x, YawRate and SteerAngle. Based on the input, if it goes above a certain threshold the

output signals BrakeLevel and PedalLevel corrects the direction and stability of the vehicle. If

the vehicle oversteers, by braking outside front wheel it will help the car to maintain on the

preferred course. If understeer occurs, correction will be done by braking inside rear wheel.

The code is created with several settings, ice and snow, race and off for low friction surfaces,

normal, sport, race and off for high friction surfaces.

12

ESP

if RightTurn

if LeftTurn

if Oversteer

if Understeer

if Oversteer

if Understeer

Brake FrontLeft

Brake RearRight

Brake FrontRight

Brake RearLeft

else no Intervention

All parameters are set based on testing, for optimal performance, the parameters could have

been chosen according to physical formulas in 2.1.1, but instead tested values for ESP worked

better than calculated. The code more or less works mainly on yaw rate, because lateral

velocity could not be used in the regulator, but it regulates based on maximal possible yaw

rate and lateral acceleration.

Figure 9. Float schematics ESP code.

2.5 Testing

Under the development of new production cars several manoeuvres must be performed to

analyse the performance and characteristics of the car. Among these tests the skid pad shows

the characteristics of the car and understeer gradient, characteristic speed and or critical speed

can be verified. The skid pad is a big circle with a constant radius from 50 meters to 500

meters. The lane change manoeuvre shows the vehicle response in a critical situation, where

the driver has to avoid from obstacles in the lane. Even a well balanced car can easily go into

a spin when performing the lane change, therefore it is a good test to make when calibrating

the ESP for a car. The test was performed to as similar conditions as possible as the ISO

3888-2 double lane change according to [6] and [9] see figure below.

Figure 10. Detailed figure of the double lane change.

13

The slalom test track is valuable to perform, in order to find out how the vehicle behaves on a

pendulum effect when turning from left to right repeatedly. The cones for the slalom test are

on a straight line with a distance of 15 m between every cone, a total of 5 cones. For ESP a

handling track with curves of different radius and shape, s-curve combination clearly shows

how the car and the system are behaving.

For ABS and TCS split friction surfaces are used to develop the systems, this is great to

optimize the stability with one side of the car on slippery surface and the other on a surface

with higher friction. These split friction test were not possible to perform in the simulation

software, all ABS and TCS tests were performed on either high friction or low friction

surfaces.

2.6 Simulation The simulation has been done with a steering wheel, equipped with throttle and brake pedal to

achieve such a realistic environment as possible. The car that has been used is the Porsche

997 Carrera S, which is a rear engine real wheel drive car with manual gearbox. Maximum

steering angle is +/- 29 ̊, with the specific steering wheel gear ratio for the vehicle. The car has

the same setup on the different surfaces, summer tires are used both on high and low friction.

2.6.1 ABS

Braking tests from 100km/h to 0 km/h was performed at conditions similar to packed snow

with a friction coefficient set to 0,4. This condition is more interesting to analyse compared to

a surface as asphalt and a friction coefficient about 1,0, which would lead to smaller

differences when comparing the results. The tests were done with and without ABS, the speed

was 100 km/h +/- 4 km/h, in neutral, second and fourth gear and with full brake pressure.

The brake distance is longer with ABS than without in neutral gear, the distance with ABS

was 100 m compared to 85 m without ABS. The longitudinal acceleration goes up to 5 m/s2

without ABS and only just above 4,5 m/s2 with ABS. In second gear, the brake distance is

longer without ABS, 88 m compared to only 73 m with ABS. Maximal retardation is 5,8 m/s2

without ABS and 5,7 m/s2 with ABS. In fourth gear, with ABS the brake distance is shorter,

73 m compared to 79 m without. With ABS, maximal retardation is 5,5 m/s2 compared to

5,2 m/s2 without ABS. See appendix A for graphs A1-6 for the table below.

Brake test Speed [km/h] Max retardation [m/s2] Braking distance [m] Gear [R, N, 1-6]

no ABS 101 -5 85 N

no ABS 103 -5,8 88 2

no ABS 98 -5,2 79 4

ABS 104 -4,5 100 N

ABS 97 -5,7 73 2

ABS 97 -5,5 73 4 Table 2.1. Brake test 100-0 km/h with and without ABS in neutral, second and fourth gear.

Brake balance is the same with and without ABS in order not to change any conditions of the

testing. Without ABS the front wheels lock immediately when the brakes are applied, with

ABS the wheels are braked and released repeatedly in order to not lock the wheels, until the

vehicle has stopped or the brake pedal is released.

14

When braking the distance becomes shorter if a gear is engaged but it can also lead to

instability on a rear wheel driven car due to the fact that the engine helps to reduce the speed

of the rear wheels because of motor torque.

2.6.2 TCS

For these 0-100 km/h tests, acceleration was done with a standing start. For the test without

TCS, the throttle was regulated by the driver and the test with TCS full throttle was engaged

and regulated by the TCS code. The conditions was the same as the braking measurements,

the surface is packed snow and the friction coefficient 0,4.

Measurements were performed on asphalt as well, but in that case TCS is more or less not

necessary, there were small or non difference when comparing with and without TCS.

The start is done in first gear on idle, accelerating as hard as possible, second gear is engaged

just above 60 km/h. The acceleration from 0-100 km/h were performed in 11,33 seconds

without TCS and 8,93 seconds with TCS with 10 % slip. In this case, TCS with a slip of 10 %

gives optimal acceleration. For better stability, a slip between 5-10 % is recommended. For

table 2.2, see appendix A for graphs A7-10.

Acceleration Longitudinal acceleration [m/s2] Time [s]

no TCS 2 11,33

TCS 5% slip 3 9,98

TCS 10% slip 3,2 8,93

TCS 15% slip 3,1 9,05

Table 2.2. Acceleration test 0-100 km/h with TCS 1,05, TCS 1,1, TCS 1,15 and without TCS.

2.6.3 ESP

The key parameters for ESP are yaw rate and lateral acceleration, if the values of yaw rate and

or lateral acceleration are too high, makes the vehicle unstable. By setting the maximum

limits of the lateral acceleration and the yaw rate the stability of the car is maintained with

ESP, without ESP the car goes into a skid or a spin with counter steering and losing control as

result, with ESP the car is easy to maintain on the preferred course with some slip.

To find out the characteristics during steady state cornering of a vehicle, the skid pad is a

great test to perform. On the limit of friction, this test shows if the car is under or oversteered,

how it behaves during load transfer when lifting of throttle or when braking. The skid pad

with a constant radius of 200 m has a friction coefficient of 0,4 for the tests below.

One lap is performed for each measurement, one with ABS and TCS, one with ESP in race

mode. The lap is done with standing start and braking in the end, with attempt to keep as high

speed as possible during the lap. For both test runs the TCS was programmed with a slip of

25 %, more slip on the driven wheels results in greater body slip angles, but also the counter

momentum of the ESP during under- or oversteer must be bigger due to bigger side slip on

the driven wheels.

15

With ABS and TCS, the car goes into a skid after three quarters of the circle is performed,

when the driver countersteers, the car goes into a spin and the control is lost. With ESP, the

driver does not have to steer as much due to greater stability as with ABS and TCS only, also

the speed is higher. For table 2.3, graphs for each test are figures A11 and A12 in appendix A.

Skid pad ABS and TCS ESP

Max lateral acceleration [m/s2] 1,5 1,26

Min lateral acceleration [m/s2] -0,75 0,85

Max yaw rate [rad/s] 0,92 0,16

Min yaw rate [rad/s] -1,9 -0,35

Max steering wheel angle [ ̊ ] 29 8

Min steering wheel angle [ ̊ ] -29 -8

Max body slip [ ̊ ] 89 25

Min body slip [ ̊ ] -88 0

Max speed [km/h] 124 129

Min speed [km/h] -58 106

Table 2.3. Skid pad with ABS and TCS 1,25, skid pad with ESP in race mode.

The lane change is performed according to the ISO 3888-2 standard procedure, but the entry

speed is below 90 km/h in third gear. The surface friction for the test was set to 0,4. Without

ESP the car spins, with ESP in race mode the car maintains stable and avoids the obstacle and

is easy to handle. TCS was set with 5 % slip for straight ahead stability, during steering in the

lane change test the throttle pedal is disengaged according to test procedure ISO 3888-2.

Table 2.4 show the results of the measurements of the lane change in appendix A, figure A13-

14.

Lane change ABS and TCS ESP

Max lateral acceleration [m/s2] 5 2,02

Min lateral acceleration [m/s2] -6 -1,43






Min body slip [ ̊ ] -26 -12



Table 2.4. Lane change with ABS and TCS 1,05, lane change with ESP in race mode.

For the slalom test the entry speed is just below 90 km/h in third gear, the surface on the

slalom track has a friction coefficient of 0,4. Without ESP only two cones were possible to

make, the first cone is no problem but when turning it creates a pendulum affect that makes

the car spin when coming to the second cone. With ESP all five cones were passed easily.

16

For both runs throttle is engaged through the cones, otherwise speed would have been lost,

which would result in, that the limit of the friction would not be passed other than for the first

or the second cone, then ESP would not be engaged to regulate the stability of the vehicle and

the outcome of the test would be different. Table 2.5 show the results of the measurements of

the slalom in appendix A, figure A15-16.

Slalom ABS and TCS ESP


Min lateral acceleration [m/s2] -1,01 -1,32









Table 2.5. Slalom with ABS and TCS 1,05, slalom with ESP in race mode.

The race track has a high friction surface, the friction coefficient is 1,0. The track has big

altitude variations and a rather uneven and bumpy surface which is perfect for dynamic tests.

As seen below in table 2.6, from the results of the measurements in figure A17-18 in appendix

A, there are no bigger differences with only ABS and TCS compared to with ESP, here the

ESP is setup in race mode.

But the ESP in this setup still makes the car more forgiving, which allows the driver to push

harder without losing control. Driving without the ESP feels less stable and demands faster

reactions from the driver when grip is suddenly lost. Especially in tight low speed corners and

s-curve sections it is more confident driving with ESP.

Race track ABS and TCS ESP


Min lateral acceleration [m/s2] -11,6 -6,6








Min speed [km/h] 0 0

Time [s] 1,30,012 1,28,480

Table 2.6. Race track with ABS and TCS 1,25, race track with ESP in race mode.

17

3. Results

Chapter 3 presents the results that have been achieved about the subject.

The goal for this thesis was to create an optimized ESP for a sports car, which have been

done. The results from the simulations show that the code for ABS, TCS and ESP works well.

The ABS works with equal or better brake distances compared without ABS, with increased

stability and manoeuvrability.

During acceleration tests the differences with and without TCS are almost 2,5 seconds from

0-100 km/h to the benefit of TCS. A better driver might decrease that difference but it is hard

to feel have much throttle that can be given by the pedal for optimal acceleration.

All tests with ESP indicate that the subject for this thesis is possible, more slip and later

intervention is possible without compromising stability and comfort. The skid pad test can be

done without ESP, but if the car skids and the driver countersteers it is easy to lose stability

and control. With ESP the driver can steer and countersteer more than necessary without

losing control. On the lane change and slalom manoeuvres the importance of the ESP is

clearly shown, without ESP it is not possible to make the track in the same speed as with ESP.

On low mue friction surfaces it is evident that ESP is important for vehicle stability. On high

mue friction it is not as clear cause is it harder to pass the limit, but once the limit of grip is

exceeded the ESP will be needed for most drivers in order not to lose control of the vehicle.

On the race track the lap time is 1,5 seconds faster with ESP than without. Even though the

race mode setting for ESP on high friction is very permitting it still helps the driver just

enough without feeling intervening or unstable, although on this setting the driver must

countersteer some to maintain on the preferred course, but will not spin.

18

4. Conclusion

The conclusions that have been drawn upon the presented results

of the thesis is summarized in this chapter.

The simulation of the ESP has worked well when the code for each system and library

behaved as preferred. In most cases the Racer Simulation has been realistic and useful for the

conditions of the performed tests. Although some measurements indicate that the values for

longitudinal and especially lateral acceleration are below the values that should be reachable

in reality for the specific surfaces and frictions. This must depend on vehicle and or tire

parameters in Racer simulation. Due to this phenomenon yaw rate was more important to

focus on when creating ESP code.

For all the measurements it is possible to have a higher speed with ESP than without on low

friction surfaces. On high mue friction the speed is more or less the same, here it is much

easier for the driver to control the car up to the limit of friction. It is much harder to pass the

limit of friction on high mue surfaces and therefore the differences are smaller compared to

low mue conditions. But once the limit of friction is passed, whether the surface has low or

high friction, the function of the ESP is clearly shown, it works as required.

The ESP works exceptional with body slip up to 25 degrees or more without compromising

stability, when it activates and regulates the intervention is smooth and comfortable. Still, all

tests were performed with simulations, if the tests could have been performed on a vehicle the

test results could have been different, this was though not possible due to confidentiality

agreement issues.

19

5. Discussion

Chapter 5 contains discussion about personal reflections of the work and possible

future work of the study in this thesis.

During simulation and programming the biggest problem was to achieve an ABS that was

stable. In the beginning there were problems with bugs, for example one front wheel

sometimes locked completely without reason, this could change from side to side as well

which made it hard to understand why it did behave like this. Also the engine creates braking

torque when throttle pedal is released, which makes the driven wheels brake harder than the

undriven, which results in an unstable vehicle. Especially on a rear wheel drive car this

creates instability.

One problem was that if lateral velocity was used in the regulator shell, the wheel speed for

each wheel did not work correctly, which lead to the fact that lateral velocity of the vehicle in

the simulation could not be used. Lateral velocity is achieved by integrating the signal of

lateral acceleration. It could strangely though be sampled and measured in the log-file for

MATLAB. Due to this, code to regulate body slip was created empirically.

For the simulation it would have been preferable if the Force Feedback for the steering wheel

would have worked, unfortunately it did not. This would have done the simulation more

realistic with more feedback to the driver. The steering wheel has a support for 900 (+/-450)

degrees of rotation but that does not include Linux, so all measurement were done with 200

(+/-100) degrees of rotation of the steering wheel as it is by default in Linux.

Body slip only measures up to +/- 90 degrees in MATLAB, the calculation according to the

equation [2.1] does not result in higher values even if the car spins 360 degrees.

The ABS regulation code would not work as well in the reality on a car, because reducing

brake pressure to zero would create a slow, unsafe and inefficient brake system. This would

have been changed, if more time could have been spent on the ABS code.

Further work could be to optimize the code and research the possibilities of implementing P1-

regulation, or PI2-regulation even PID

3-regulation [10].

Last of all, I have learned a lot about how ABS, TCS and ESP work and how they can be

optimized for the specific behaviour that is required.

1 proportional.

2 proportional and integrating.

3 proportional, integrating and derivating.

20

References [1] ChooseESC, http://www.chooseesc.eu/en/facts_about_electronic_stability_control/

general_ information_about_esc/ 080516

[2] WONG, J. Y., Theory of Ground Vehicles. John Wiley & Sons Ltd, 3rd Edition, 2001.

[3] Robert Bosch GmbH, Automotive Handbook. Bentley Publishers, 6th

Edition, 2004.

[4] Linköping University TSFS02, http://www.fs.isy.liu.se/~jaasl/Fordonsdynamik/F8.pdf

080521

[5] Lopez, C, Going Faster! Mastering the Art of Race Driving. Bentley Publishers, 2001.

[6] Robert Bosch GmbH, Safety, Comfort and Convenience Systems. John Wiley & Sons Ltd,

2006.

[7] www.racer.nl 080516

[8] C++ Reference, http://www.cppreference.com/ 080516

[9]NHTSA, http://www-nrd.nhtsa.dot.gov/pdf/nrd-01/esv/esv19/05-0221-O.pdf 080521

[10] Thomas, B, Modern Reglerteknik. Liber AB, 3rd Edition, 2003.

http://www.chooseesc.eu/en/facts_about_electronic_stability_control/general_%20information_

http://www.fs.isy.liu.se/~jaasl/Fordonsdynamik/F8.pdf

http://www.racer.nl/

http://www.cppreference.com/

http://www-nrd.nhtsa.dot.gov/pdf/nrd-01/esv/esv19/05-0221-O.pdf

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ABS

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speed of the rear wheels are the red lines and the speed of the front wheels are the purple

lines. As seen on the graphs the front wheels lock immediately without ABS when braking.

Figure A.1. Brake test 100-0 km/h without ABS in neutral gear.

Figure A.2. Brake test 100-0 km/h without ABS in second gear.

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Acceleration 0-100 km/h with and without TCS. The velocity of the car is the blue line, the

speed of the rear wheels are the red lines and the speed of the front wheels are the purple

lines. As seen in figure A.7, that under these conditions it is hard to regulate the throttle for

the driver for an optimal acceleration without TCS, the speed of the rear wheels are much

higher than for the car.

Figure A.7. Acceleration test 0-100 km/h without TCS.

Figure A.8. Acceleration test 0-100 km/h with TCS 5 % slip.

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Figure A.11. Skid pad with ABS and TCS.

Figure A.12. Skid pad with ESP in race mode.

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0 100 200 300-8

-6

-4

-2

0

2

4

6

Distance [m]

Late

ral accele

ration [

m/s

²]


0 100 200 300-40

-20

0

20

40

60

80

Distance [m]

Body s

lip []

Body slip

-100 -80 -60 -40 -20 0100

150

200

250

300

350

400

450

X [m]

Z [

m]

Position

Path start

Plot start

End

0 100 200 300 400-20

0

20

40

60

80

100

Distance [m]

Velo

city [

km

/h]

Velocity

0 100 200 300 400-20

-10

0

10

20

30

Distance [m]

Ste

ering w

heel angle

[]


0 100 200 300 400-1

-0.5

0

0.5

1

1.5

Distance [m]

Yaw

rate

[ra

d/s

]

Yaw rate

0 100 200 300 400-2

-1

0

1

2

3

Distance [m]

Late

ral accele

ration [

m/s

²]


0 100 200 300 400-15

-10

-5

0

5

10

15

Distance [m]

Body s

lip []

Body slip

8

Slalom with and without ESP.

Figure A.15. Slalom with ABS and TCS.

Figure A.16. Slalom change with ESP in race mode.

-100 -80 -60 -40 -20 0100

150

200

250

300

350

400

X [m]

Z [

m]

Position

Path start

Plot start

End

0 100 200 300-20

0

20

40

60

80

100

Distance [m]

Velo

city [

km

/h]

Velocity

0 100 200 300-30

-20

-10

0

10

20

30

Distance [m]

Ste

ering w

heel angle

[]


0 100 200 300-1.5

-1

-0.5

0

0.5

1

Distance [m]

Yaw

rate

[ra

d/s

]

Yaw rate

0 100 200 300-1.5

-1

-0.5

0

0.5

1

Distance [m]

Late

ral accele

ration [

m/s

²]


0 100 200 300-100

-50

0

50

100

Distance [m]

Body s

lip []

Body slip

-100 -80 -60 -40 -20 0100

150

200

250

300

350

400

450

500

X [m]

Z [

m]

Position

Path start

Plot start

End

0 100 200 300 400-20

0

20

40

60

80

100

Distance [m]

Velo

city [

km

/h]

Velocity

0 100 200 300 400-30

-20

-10

0

10

20

30

Distance [m]

Ste

ering w

heel angle

[]


0 100 200 300 400-1

-0.5

0

0.5

1

1.5

Distance [m]

Yaw

rate

[ra

d/s

]

Yaw rate

0 100 200 300 400-1.5

-1

-0.5

0

0.5

1

1.5

Distance [m]

Late

ral accele

ration [

m/s

²]


0 100 200 300 400-20

-15

-10

-5

0

5

10

15

Distance [m]

Body s

lip []

Body slip

9

Race track with and without ESP.

Figure A.17. Race track with ABS and TCS.

Figure A.18. Race track with ESP in race mode.

-600 -400 -200 0 200 400-600

-500

-400

-300

-200

-100

0

100

X [m]

Z [

m]

Position

Path start

Plot start

End

0 1000 2000 3000-50

0

50

100

150

200

Distance [m]

Velo

city [

km

/h]

Velocity

0 1000 2000 3000-30

-20

-10

0

10

20

30

Distance [m]

Ste

ering w

heel angle

[]


0 1000 2000 3000-1.5

-1

-0.5

0

0.5

1

1.5

Distance [m]

Yaw

rate

[ra

d/s

]

Yaw rate

0 1000 2000 3000-15

-10

-5

0

5

10

Distance [m]

Late

ral accele

ration [

m/s

²]


0 1000 2000 3000-30

-20

-10

0

10

20

Distance [m]

Body s

lip []

Body slip

-600 -400 -200 0 200 400-600

-500

-400

-300

-200

-100

0

100

X [m]

Z [

m]

Position

Path start

Plot start

End

0 1000 2000 3000-50

0

50

100

150

200

Distance [m]

Velo

city [

km

/h]

Velocity

0 1000 2000 3000-30

-20

-10

0

10

20

30

Distance [m]

Ste

ering w

heel angle

[]


0 1000 2000 3000-1.5

-1

-0.5

0

0.5

1

1.5

2

Distance [m]

Yaw

rate

[ra

d/s

]

Yaw rate

0 1000 2000 3000-10

-5

0

5

10

Distance [m]

Late

ral accele

ration [

m/s

²]


0 1000 2000 3000-20

-10

0

10

20

Distance [m]

Body s

lip []

Body slip

10

Appendix B

Regulator shell //

// controller.cpp: implementation of a controller

//

//

// Erik H, 20070213.

//

// Johan Andersson, 20080404

//

#include <math.h>

#include <control.h>

#include <iostream.h>

#include <abs.h>

#include <tcs1.25slip.h>

#include <esphighrace997.h>

//

// Controller main function

//

void Controller(const ControlInput& In, ControlOutput& Out) {

//

// Declare work variables

//

float dt;

//

// The keyword static causes a variable that is defined within a

// function to be preserved in subsequent calls to the function.

// It is thus suitable for keeping state variables.

//

// States

static int t0 = 0; // Last time stamp [ms]

//

// ESP Parameters

//

//

// Retrieve inputs

//

const int PedalLevel = In.PedalLevel; // Accelerator pedal level [0,1000]

const int BrakeLevel = In.BrakeLevel; // Brake pedal level [0,1000]

const float SteerAngle = In.SteerAngle; // Steer angle [rad]

const int t1 = In.Time; // Time [ms]

const float A_x = In.A_x; // Lateral acceleration [m/s^2]

const float YawRate = In.YawRate; // Yaw rate [rad/s]

// The rotational speed of the respective wheels [rad/s]

// 1 - Front left wheel 3 - Rear left wheel

// 2 - Front right wheel 4 - Rear right wheel

const float omega_1 = In.FrontLeft().AngVel;

const float omega_2 = In.FrontRight().AngVel;

const float omega_3 = In.RearLeft().AngVel;

const float omega_4 = In.RearRight().AngVel;

// Velocity of Car [m/s]

const float V_y = (((omega_1+omega_2+omega_3+omega_4)/4)*0.331);

//

11

// Update states

//

dt = t1-t0; // Time difference since last call [ms]

if(t0 > 0) {

// Update

}

else {t0 = t1;

// Reset

}

// Update time stamp

//

// Default output values

//

Out.SetPedalLevel(PedalLevel); // Accelerator pedal level [0,1000]

Out.SetBrakeLevel(BrakeLevel); // Brake pedal level [0,1000]

Out.SetBrakeFactors(0,0,0,0); // Brake scaling [%]

Out.State = ON; // Controller state {OFF,ON}

Out.Monitor = 1; // Monitor variable

//

// Controller implementation

//

// For ABS

abs(omega_1, omega_2, omega_3, omega_4, V_y, BrakeLevel, YawRate, &Out);

// For TCS

tcs(omega_1, omega_2, omega_3, omega_4, V_y, PedalLevel, BrakeLevel, &Out);

// For ESP

esp(omega_1, omega_2, omega_3, omega_4, V_y, BrakeLevel, PedalLevel, SteerAngle,

A_x, YawRate, &In, &Out);

}

12

MATLAB measurement sampling % LoadRacerData.m

%

% Erik H, 20061214.

%

% modified by Johan Andersson, 20080414

%

% Load data from last run

load /tmp/logger.mat

%

% EXTRACT DATA

%

%

% Definition of axes:

%

% X: Out of the front door

% Y: Up through the roof

% Z: Out of the front windshield

%

% X

% ^

% - | -

% |---.---| -> Z

% - Y -

% Rear Front

%

%

% Static properties

%

% Radius of the wheels [m]

r_FL = RacerStatic.FrontLeftRadius;

r_FR = RacerStatic.FrontRightRadius;

r_RL = RacerStatic.RearLeftRadius;

r_RR = RacerStatic.RearRightRadius;

%

% Dynamic data

%

% Information

Time = 1e-3*RacerInfo(:,1); % Time [s]

Dist = RacerInfo(:,2); % Driven meters [m]

State = RacerInfo(:,3); % Controller status flag

N = length(Time); % Number of samples

% Position of the car (in world orientation) [m]

X = RacerPosition(:,1);

Y = RacerPosition(:,2);

Z = RacerPosition(:,3);

% Velocity of the car (in car orientation) [km/h]

V_x = RacerVelocity(:,1);

V_y = RacerVelocity(:,2);

V_z = RacerVelocity(:,3);

% Acceleration of the car (in car orientation) [m/s^2]

A_x = RacerAcceleration(:,1);

A_y = RacerAcceleration(:,2);

A_z = RacerAcceleration(:,3);

% Rotational velocity of the car (in car orientation) [rad/s]

R_x = RacerRotVelocity(:,1);

R_y = RacerRotVelocity(:,2);

R_z = RacerRotVelocity(:,3);

13

% Angular velocities of the wheels [rad/s]

a_FL = RacerWheel(:,1);

a_FR = RacerWheel(:,2);

a_RL = RacerWheel(:,3);

a_RR = RacerWheel(:,4);

% Controls

Pedal = RacerControl(:,1); % Pedal level [0,1000] [-]

Brake = RacerControl(:,2); % Brake level [0,1000] [-]

Angle = RacerControl(:,3); % Steer angle [rad]

BrakeFactor = RacerControl(:,4:7); % Brake factor [0,100] [%]

vehicle dynamics thesis

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