First published 2017 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc.
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The rights of Philippe Feyel to be identified as the author of this work have been asserted by him in accordance with the Copyright, Designs and Patents Act 1988.
Library of Congress Control Number: 2016958347
British Library Cataloguing-in-Publication Data
A CIP record for this book is available from the British Library
ISBN 978-1-78630-042-3
In industry, control engineers have to design a unique control law valid on a single prototype with a sufficient degree of robustness to satisfy a complex specification on many systems. To this end, the development methodology employed consists of an experimental iterative process (trial and error phase) that is heavily reliant on engineers’ own level of expertise.
In this book, we try to make the methodology for computing controllers that are more efficient and more direct with a less costly development time by calculating a final structured controller using a direct optimization on a high-level specification system.
The complexity of high-level specifications drives us to the use of metaheuristics: these optimization techniques do not require gradient formulation, the only constraint being the possibility of evaluating the specification. Thus, in this work, we propose to reformulate robust control problems for stochastic optimization: we show how to synthesize structured controllers for control problems such as H∞ synthesis, μ-synthesis or LPV/LFT synthesis, showing that the interest of the formulated approach lies in its flexibility and the consideration of exotic complex constraints.
Since evolutionary algorithms have proved to be so effective and competitive, we have used them as the foundation for a new method for synthesizing robust and structured controllers with respect to any form of optimization criteria. The validation of this work was performed on the industrial example of the line of sight stabilization problem in addition to several academic problems.
Philippe FEYEL
November 2016