Optimal hardware and control system design for aero and auto applications Paul Stewart Electrical Machines and Drives Group Dept. Electronic and Electrical Engineering

IEEE Colloquium on Optimisation for Control 24 th April 2006 ELVAS – ‘Electronic Valve Actuation Systems’ EC Framework V ProjectContract No. G3RD-CT Objectives 15% decrease in CO 2 emissions Substantial engine noise reduction Develop novel sensor and actuator topology Develop novel control techniques and strategies for demanding dynamic performance requirements Optimised power consumption Validate performance on Renault F4R (Laguna/Meganne) engine Application of multiobjective optimisation to Auto/Aero design

IEEE Colloquium on Optimisation for Control 24 th April 2006 Application problem Objectives Landing velocity <0.05m/s Minimal transition time Departure velocity <0.05m/s through valve gap contact point Minimise power consumption Challenges Which actuator topology? Is there an achievable solution? What is the optimal trajectory to track Can it be tracked?

IEEE Colloquium on Optimisation for Control 24 th April 2006 Multiobjective system design stage 1: Find the optimal force profile

IEEE Colloquium on Optimisation for Control 24 th April 2006 Multiobjective system design stage 1: Objective function

IEEE Colloquium on Optimisation for Control 24 th April 2006 Multiobjective system design stage 1: Candidate solutions

IEEE Colloquium on Optimisation for Control 24 th April 2006 Multiobjective system design stage 1: Candidate solution performance 1

IEEE Colloquium on Optimisation for Control 24 th April 2006 Multiobjective system design stage 1: Candidate solution performance 2

IEEE Colloquium on Optimisation for Control 24 th April 2006 Multiobjective system design stage 1: Candidate solution performance 3

IEEE Colloquium on Optimisation for Control 24 th April 2006 Multiobjective system design stage 1: Candidate solution performance 4

IEEE Colloquium on Optimisation for Control 24 th April 2006 Multiobjective system design stage 2: Actuator design 1

IEEE Colloquium on Optimisation for Control 24 th April 2006 Multiobjective system design stage 2: Actuator design 2

IEEE Colloquium on Optimisation for Control 24 th April 2006 Multiobjective system design stage 2: Actuator design 2a

IEEE Colloquium on Optimisation for Control 24 th April 2006 Multiobjective system design stage 2: Actuator verification

IEEE Colloquium on Optimisation for Control 24 th April 2006 Resume Challenges Does an achievable force profile exist for the mechanical system Does an actuator exist to enable project targets to be achieved Does candidate actuator fulfil objective with realistic energy utilisation Can an optimal position trajectory be derived Methodology Utilise multiobjective optimisation to search candidate force profiles Assess candidate actuator designs against identified force profile Utilise multiobjective optimisation to search candidate current profiles Identify optimal velocity/position trajectory Design gain scheduled tracking controller via multiobjective technique

IEEE Colloquium on Optimisation for Control 24 th April 2006 Gain-scheduled controller results 1

IEEE Colloquium on Optimisation for Control 24 th April 2006

Gain-scheduled controller results 2

IEEE Colloquium on Optimisation for Control 24 th April 2006 An aside on robustness