Overview
- Provides a design framework for intelligent control systems of the alternating current motors
- Discusses problems of parameter uncertainties and load torque disturbances
- Proves the Lyapunov stability of the close loop system under intelligent controllers
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 349)
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Table of contents (13 chapters)
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Front Matter
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Induction Motor
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Front Matter
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Permanent Magnet Synchronous Motor (PMSM)
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Front Matter
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Summary
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Front Matter
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Keywords
About this book
This book focuses on the intelligent control design for both the induction motor (IM) and the permanent magnet synchronous motor (PMSM). Compared with traditional control schemes, such as the field-oriented control (FOC) and the direct torque control (DTC), the intelligent controllers designed in this book could overcome the influence of parameter uncertainty and load torque disturbance. This book is a research monograph, which provides valuable reference material for researchers who wish to explore the area of AC motor. In addition, the main contents of the book are also suitable for a one-semester graduate course.
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Authors and Affiliations
Bibliographic Information
Book Title: Intelligent Backstepping Control for the Alternating-Current Drive Systems
Authors: Jinpeng Yu, Peng Shi, Jiapeng Liu
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-67723-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-67722-0Published: 14 February 2021
Softcover ISBN: 978-3-030-67725-1Published: 14 February 2022
eBook ISBN: 978-3-030-67723-7Published: 13 February 2021
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XX, 221
Number of Illustrations: 63 b/w illustrations, 64 illustrations in colour
Topics: Control and Systems Theory, Power Electronics, Electrical Machines and Networks, Computational Intelligence