electronics and robotics v kadirkamanathan

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The Role of Control, Robotics and Systems Engineering for a Smarter Planet Visakan Kadirkamanathan Director, Rolls-Royce University Technology Centre Department of Automa@c Control and Systems Engineering University of Sheffield Science and Technology for Society Forum 2016

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Page 1: Electronics and Robotics  V Kadirkamanathan

TheRoleofControl,RoboticsandSystemsEngineering

foraSmarterPlanet

VisakanKadirkamanathanDirector,Rolls-RoyceUniversityTechnologyCentre

DepartmentofAutoma@cControlandSystemsEngineeringUniversityofSheffield

ScienceandTechnologyforSocietyForum2016

Page 2: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

Overview

•  ControlandSystemsEngineering•  ComplexSystemsDesign•  CyberPhysicalSystems•  AutonomousIntelligentSystems•  Robo@csApplica@ons•  Summary

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Page 3: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

“TheSmarterPlanet”Initiative

•  IBMandotherins@tu@onscreatedtheini@a@vehowawholenewgenera+onofintelligentsystemsandtechnologiesouldbeputtouseforprofoundimpact–smarterpowergrid,smarterfoodsystems,smarterwater,smarterhealthcare,smartertrafficsystems.

•  Robots

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•  Technologiesforintelligence•  Controlandautoma@on

•  Processesforsmartdesign•  Systemsengineering

Page 4: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

Controller

Actuator

AircraftEngineOperation–acartoonview

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System Sensor

OutputInput

Page 5: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

ControlSystemsStructure

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System Actuator Sensor

Controller

OutputInput

Page 6: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

IndustrialRobots

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System

Actuator (Electric/ Pneumatic

Drives)

Sensors (Force,

Position, Velocity)

Controller

OutputInput

Page 7: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

SystemsEngineeringV–ControlDesign

•  Test

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Image from: www.eeweb.com

Page 8: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

HealthcareApplicationofEmbeddedControl

•  Electricals@mula@ontreatmentforepilepsy•  ModellingfromiEEGsignals

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brain model

controller

- + therapy iEEG

afferents (unknown input)

estimate of parameters

Page 9: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

ComplexSystemsDesign-Aircraft

•  BlendedwingbodyconceptbyNASA

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•  Combinedgasturbineandelectricalpropulsion

•  Communica@onbetweenengines

•  Distributedcontrolforflightmanoeuvres

•  EngineaircraOintegra@on

•  Cer@fica@on

Page 10: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

ComplexSystemsDesign-Vehicle

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Structures

Electronics

NVH CFD

Cost

MDO: Multidisciplinary design optimization

•  Designchiefengineerwithfinaldecision-making

•  Designteamsatfunc@onallevel

•  Supportedbyextensivemodels

•  Onestepdesigndifficult•  Modelintegra@on•  Compu@ng@me

Page 11: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

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Debate targets

High-level design

High-level design

High-level design

High-level design

Detailed design

Detailed design

Detailed design

Detailed design

Combine designs and debate targets

rework

RobustOptimisationforDesign

Page 12: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

CyberPhysicalSystems

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Control

Communication

Computation

Information

Vehicle management system - millions of lines of software

Images from: www.ee.nd.edu,pinterest.com

Exoskeleton for wrist - human in the loop

Page 13: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

AircraftEngineasaCPS

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0 10 20 30 40 50 60 70 800

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

Number of flight (normalised)

TGT

mar

gin

(nor

mal

ised

)

action warning threshold

failure warning threshold

current time

Architecture & System

Modelling and Optimisation

Condition Monitoring

Decision making

technology

Adaption & Control

Wireless Sensor

Systems

Page 14: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

AutonomousIntelligentSystems

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Sensor Exploitation

Situational Awareness

Mission Planning

Decision Making

Learning / Adaptation Self healing

Software / System Architectures

Verification and Validation

Page 15: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

AutonomousDriverlessVehicles

Level 0 – Driver in

complete and sole control

Level 1 – Driver can

regain control

Level 2 – Driver has temporary

driving relief

Level 3 – Driver

available to take control

Level 4 – Driver not

expected to take control

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Image from: sciencepble.com

Page 16: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

BioinspiredRobotics

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Page 17: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

ApplicationsforRobots

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Page 18: Electronics and Robotics  V Kadirkamanathan

Department Of Automatic Control & Systems Engineering.

Summary

•  Smarterplanet(eg.Transport)need•  ControlEngineering–ahiddentechnologythatplayssignificantrolesinapplica@ons.

•  SystemsEngineering–aprocessthatunderliestheimportanceofmodelling,controlandop@misa@on.

•  Robo@cs–machinesthatdelivercompletefunc@onality.

•  SystemsEngineeringthemesiden@fyrelevantfunc@onalcharacteris@csinapplica@ons•  Cyberphysicalsystems

•  Autonomousintelligentsystems•  Complexsystems

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