Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems
This book presents various computationally efficient component- and system-level design optimization methods for advanced electrical machines and drive systems. Readers will discover novel design optimization concepts developed by the authors and other re
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Gang Lei Jianguo Zhu Youguang Guo
Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems
Power Systems
More information about this series at http://www.springer.com/series/4622
Gang Lei Jianguo Zhu Youguang Guo •
•
Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems
123
Youguang Guo University of Technology Sydney Sydney, NSW Australia
Gang Lei University of Technology Sydney Sydney, NSW Australia Jianguo Zhu University of Technology Sydney Sydney, NSW Australia
ISSN 1612-1287 Power Systems ISBN 978-3-662-49269-7 DOI 10.1007/978-3-662-49271-0
ISSN 1860-4676
(electronic)
ISBN 978-3-662-49271-0
(eBook)
Library of Congress Control Number: 2016930283 © Springer-Verlag Berlin Heidelberg 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by SpringerNature The registered company is Springer-Verlag GmbH Berlin Heidelberg
Preface
Electrical machines and drive systems account for about 46 % of all global electricity consumption, resulting in about 6,040 Mt of CO2 emissions. This is by far the largest portion of electricity use, easily outstripping lighting, which takes up to 19 % of the world’s demand. Therefore, the energy efficiency of electrical drive systems is very important for the energy conservation, environment and sustainable development of the world. Electrical drive systems are key components in many modern appliances, as well as industry equipment and systems. In order to achieve the best design objectives, such as high performance and low cost, various optimization methods have been developed for design optimization of electrical machines and drive systems. The traditional design optimization is at the component level, e.g. optimization of a motor design or the parameters of a control algorithm. However, modern appliances or systems demand that the drive systems be specifically designed and optimized to provide full support
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