Applied intelligent control of induction motor drives
Chan, Tze Fun
creator
author
aut
Shi, Keli
author
aut
text
bibliography
Electronic books.
nju
2011
2011
First edition.
monographic
eng
1 online resource (xxv, 421 pages) : illustrations
"Induction motors are the most important workhorses in industry. They are mostly used as constant-speed drives when fed from a voltage source of fixed frequency. Advent of advanced power electronic converters and powerful digital signal processors, however, has made possible the development of high performance, adjustable speed AC motor drives. This book aims to explore new areas of induction motor control based on artificial intelligence (AI) techniques in order to make the controller less sensitive to parameter changes. Selected AI techniques are applied for different induction motor control strategies. The book presents a practical computer simulation model of the induction motor that could be used for studying various induction motor drive operations. The control strategies explored include expert-system-based acceleration control, hybrid-fuzzy/PI two-stage control, neural-network-based direct self control, and genetic algorithm based extended Kalman filter for rotor speed estimation. There are also chapters on neural-network-based parameter estimation, genetic-algorithm-based optimized random PWM strategy, and experimental investigations. A chapter is provided as a primer for readers to get started with simulation studies on various AI techniques."--Publisher's description.
Introduction -- Philosophy of Induction Motor Control -- Modeling and Simulation of Induction Motor -- Fundamentals of Intelligent Control Simulation -- Expert-System-Based Acceleration Control -- Hybrid Fuzzy/PI Two-Stage Control -- Neural-Network-based Direct Self Control -- Parameter Estimation Using Neural Networks -- GA-Optimized Extended Kalman Filter for Speed Estimation -- Optimized Random PWM Strategies Based On Genetic Algorithms -- Experimental Investigations -- Conclusions and Future Developments -- Appendix A: Equivalent Circuits of an Induction Motor -- Appendix B: Parameters of Induction Motors -- Appendix C: M-File of Discrete-State Induction Motor Model -- Appendix D: Expert-system Acceleration Control Algorithm -- Appendix E: Activation Functions of Neural Network -- Appendix F: M-File of Extended Kalman Filter -- Appendix G: ADMC331-based Experimental System -- Appendix H: Experiment 1: Measuring the Electrical Parameters of Motor 3 -- Appendix I: DSP Source Code for the Main Program of Experiment 2 -- Appendix J: DSP Source Code for the Main Program of Experiment 3 -- Index.
Tze-Fun Chan, Keli Shi.
Includes bibliographical references and index.
Intelligent control systems
Electric motors, Induction
TECHNOLOGY & ENGINEERING
Mechanical
Electric motors, Induction
Intelligent control systems
TJ217.5 .C43 2011
621.46
Applied intelligent control of induction motor drives
Chan, Tze Fun.
Hoboken, N.J. : Wiley, ©2011
(DLC) 2010035690
(OCoLC)664114861
Applied intelligent control of induction motor drives
Chan, Tze Fun.
Singapore ; [Hoboken, N.J.] : IEEE Press/Wiley, 2011
(DLC) 2010035690
(OCoLC)747798982
9780470825587
0470825588
9780470825570
047082557X
9780470828281
0470828285
0470825561
9780470825563
10.1002/9780470825587 Wiley InterScience
http://onlinelibrary.wiley.com/book/10.1002/9780470825587
http://onlinelibrary.wiley.com/book/10.1002/9780470825587
DG1
110210
20171224113555.0
ocn701308664
eng