aamir's title defense
TRANSCRIPT
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Proposer:
Muhammad Aamir Akram
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Advisor:
Dr Vali Uddin Abbas
Associate Professor
GEC Members
` Cdr Dr. M. Junaid KhanAssistant Professor
` Cdr Dr. Muhammad Farhan
Assistant Professor
` Dr. Arshad AzizAssistant Professor
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` Objective
` Introduction
` Literature Reviewed
`
Problems Identified` Our Strategy
` Scope of Work
` References
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` Design of Sliding Mode Controller for Electromagnetic
Levitation System Based on Feedback Linearization (for
suspended ball system).
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` Magnetic levitation is the process of levitating an object
by exploiting magnetic fields.
If the magnetic force of attraction is used, it is
known as magnetic suspension.
If magnetic repulsion is used, it is known as
Magnetic levitation.
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21 ( / )2
z K K K f L z i! x x
Electromagnetic Force
Equation
Where= Applied force
= Inductance
= Air gap
= Applied Current
zf
kL
kz
ki
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Which yields
2
2
2 220
2
1( / )
2
12
( ) ( )4
z K K K
k k
m m k k
k k
f L z i
g i
T A i iK
z z
Q
! x x
!
! !
k
mmk
z
ATL
2
2
0Q
!
= Permeability of vacuum
Tm=No. of turns of winding
Am= Area of magnet core
Where
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` Feedback Linearization is the approach involves atransformation of the nonlinear system into equivalent linearsystem through a change of variables and suitable controlinput.
` Completely different from conventional linearization, becausefeedback linearization is achieved by exact statetransformation and feedback.
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` It is a nonlinear control method that alters the dynamics
of a nonlinear system by application of a high frequency
switching control.
` SMC Involves following two steps:
Selection of a Hypersurface
Finding Feedback Gains
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PI and PID Controller Technique
Phillip James Vallence, Digital Control of
Levitation, Virgina Polytechnic Institute and State
University, 2001
Switched mode Power Amplifier
Lee, B.S., Linear Switched Reluctance Machine
Drives with Electromagnetic Levitation and
Guidance Systems, Ph.D. Thesis, Virginia Tech,
2000
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` Feedback Linearization
J.k. Hedrick and A. Girard, Control of Nonlinear
Dynamic System: Theory and Applications
2005.` Sliding Mode Control
R.Saravana Kumar Sliding Mode Control of
Induction Motor using Simulation Approach IJCSNS
October 2009.
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1. Slow step response of entire system
2. Open loop instability
3. Nonlinear i2 dependence on force
4. Nonlinear inductance dependence on air gap5. Enhancement in effect of noise
6. Not so much energy efficient
7. Generates switching related electromagnetic noise
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` Feedback Linearization
I. Algebraically Transforms Nonlinear System
Dynamics into Linear Systems
II. Easier Way of Transforming Original System Model
into Equivalent Ones of a Simpler Form
` Sliding Mode Control
I. Reduces the effect of Noise
II. Main strength is its robustness .
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` By using feedback linearization of electromagnetic
levitation systems will be done by exact state
transformation.
` Sliding Mode Control strategy will be used to design a
controller .
` Simulation and Results will be verified on MATLAB.
` Try to implement on hardware depends upon the
availability
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[1] Phillip James Vallence, Digital Control of Levitation,
Ph.D. Thesis, Virgina Polytechnic Institute and State
University, 2001
[2] Lee, B.S., Linear Switched Reluctance Machine Drives
with Electromagnetic Levitation and Guidance
Systems, Ph.D. Thesis, Virginia Tech, 2000
[3] W.G. Hurley and W.H. Wolfle, Electromagnetic design
of a magnetic suspension system, in IEEE Trans. May
1997
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[4] Han-Kyung Bae, Byeong-Seok Lee, Praveen
Vijayraghavan and Krishnan, R., "Linear Switched
Reluctance Motor: Converter and Control", IEEE
Transactions on Industry Applications, Sept./Oct. 2000.
[5] R.Saravana Kumar Sliding Mode Control of Induction
Motor using Simulation Approach IJCSNS October
2009
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[6] Subrata Banerjee, Dinkar Prasad, A Study of
Different Possible Switched Mode Chopper Circuits
for Multi-Magnet Based DC Electromagnetic
Levitation System, Emerson Network Power, India,
PEDS 2007.
[7] LIU DE-sheng, LI Jie, ZHANG Kun, The Design of
the Nonlinear Suspension Controller for EMS
Maglev Train Based on Feedback Linearization[J],
Journal of National University of De Fense
Technology, 2005
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[8] Adrian-Vasile Duka, Modelling of an Electromagnetic
Levitation System using a Neural NetworkPetru Maior
University of Tg. Mure, 2010 - IEEE
[9] R.-J. Wai and J.-D. Lee, Modelling of an
Electromagnetic Levitation System using a Neural
Network, IEE Proc.-Electr. Power Appl., November 2005