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Neural and Fuzzy Logic Control
of Drives and Power Systems
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Neural and Fuzzy Logic
Control of Drives and
Power Systems
M.N. Cirstea, A. Dinu, J.G. Khor,
M. McCormick
Newnes
OXFORD AMSTERDAM BOSTON LONDON NEW YORK PARIS
SAN DIEGO SAN FRANCISCO SINGAPORE SYDNEY TOKYO
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Newnes
An imprint of Elsevier Science
Linacre House, Jordan Hill, Oxford OX2 8DP
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First published 2002
Copyright © 2002, M.N. Cirstea, A. Dinu, J.G. Khor, M. McCormick. All rights reserved
The right of M.N. Cirstea, A. Dinu, J.G. Khor and M. McCormick to be identified as the
authors of this work has been asserted in accordance with the Copyright,
Designs and Patents Act 1988
No part of this publication may be reproduced in any material form (including
photocopying or storing in any medium by electronic means and whether
or not transiently or incidentally to some other use of this publication) without
the written permission of the copyright holder except in accordance with the
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a licence issued by the Copyright Licensing Agency Ltd, 90 Tottenham Court Road,
London, England W1T 4LP. Applications for the copyright holder’s written
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to the publisher
British Library Cataloguing in Publication Data
A catalogue record for this book is available from the British Library
ISBN 0 7506 55585
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visit our website at www.newnespress.com
Typeset at Replika Press Pvt Ltd, Delhi 110 040, India
Printed and bound in Great Britain
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......................................................
Control systems
.......................................
Control theory: historical review
1
.............
1
...............
Control systems for a. c. drives
2
..............
5
........................................
Electronic design automation ( EDA)
.....
Application specific integrated circuit (
ASIC) basics
...........................................
Field programmable gate arrays (
FPGAs)
12
...................................................
ASICs for power systems and drives
.....
14
Electric motors and power systems
.......
........................................
Power systems
Electric motors
.......................................
Pulse width modulation
19
..........................
The space vector in electrical systems
22
...
26
...........................
Synchronous generators control
28
............
51
Elements of neural control
......................
Neurone types
........................................
Artificial neural networks architectures
...
59
.................................
Control applications of ANNs
61
.................
Neural network implementation
69
..............
71
Neural FPGA implementation
..................
Neural networks design and
implementation strategy
.........................
Preface
Introduction to control systems
Modern control systems design using
CAD techniques
16
Induction motor control
Training algorithms
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