This book aims to explore new areas of induction motor controlbased on artificial intelligence (AI) techniques in order to makethe controller less sensitive to parameter changes. Selected AItechniques are applied for different induction motor controlstrategies. The book presents a practical computer simulation modelof the induction motor that could be used for studying variousinduction motor drive operations. The control strategies exploredinclude expert-system-based acceleration control, hybrid-fuzzy/PItwo-stage control, neural-network-based direct self control, andgenetic algorithm based extended Kalman filter for rotor speedestimation. There are also chapters on neural-network-basedparameter estimation, genetic-algorithm-based optimized random PWMstrategy, and experimental investigations. A chapter is provided asa primer for readers to get started with simulation studies onvarious AI techniques.
This book will be invaluable to graduate students and researchengineers who specialize in electric motor drives, electricvehicles, and electric ship propulsion. Graduate students inintelligent control, applied electric motion, and energy, as wellas engineers in industrial electronics, automation, and electricaltransportation, will also find this book helpful.
Simulation materials available for download at www.wiley.com/go/chanmotor
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Keli Shi is a Research Engineer of Netpower TechnologiesInc.. His research interests are DSP applications and intelligentcontrol of induction and permanent magnet machines. He received hisBS degree in electronics and electrical engineering from ChengduUniversity of Science and Technology and MS degree in electricalengineering from Harbin Institute of Technology in 1983 and 1989respectively. He received his PhD in electrical engineering fromThe Hong Kong Polytechnic University in 2001.
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Descrizione libro Hardcover. Condizione: new. This item is printed on demand. Codice articolo 9780470825563
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