Intelligent Backstepping Control for the Alternating-Current Drive Systems (Studies in Systems, Decision and Control, 349)

✍ Scribed by Jinpeng Yu, Peng Shi, Jiapeng Liu

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 233
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Preface
Acknowledgements
Contents
Notations and Acronyms
List of Figures
1 Introduction
1.1 Dynamic Mathematical Model for IM
1.2 Dynamic Mathematical Model for PMSM
1.3 Outline of the Book
References
Part I Induction Motor
2 Position Tracking Control of IM via Adaptive Fuzzy Backstepping
2.1 Introduction
2.2 Mathematical Model of the IM Drive System and Preliminaries
2.3 Adaptive Fuzzy Controller Design with Backstepping
2.4 Simulation Results
2.4.1 Classical Backstepping Design
2.4.2 Simulation
2.5 Conclusion
References
3 NNs-Based Command Filtered Control for IM with Input Saturation
3.1 Introduction
3.2 Mathematical Model of IM Drive System
3.3 Command-Filtered Adaptive NNs Control Design
3.4 Simulation Results
3.5 Conclusion
References
4 NNs-Based Discrete-Time Command Filtered Adaptive Control for IM
4.1 Introduction
4.2 Mathematical Model of the IM Drive System
4.3 Discrete-Time Command Filtered Neural Networks Controller Design
4.4 Simulation Results
4.5 Conclusion
References
5 Adaptive Fuzzy Control for IM Stochastic Nonlinear Systems Based on CFC
5.1 Introduction
5.2 The IM Drive Systems Mathematical Model
5.3 Adaptive Fuzzy Control Based on CFC for IM Stochastic …
5.4 Simulation Results
5.5 Conclusion
References
6 Adaptive Fuzzy Dynamic Surface Control for IM with Iron Losses
6.1 Introduction
6.2 Mathematical Model and Preliminaries
6.3 Adaptive Fuzzy DSC Design with Backstepping
6.4 A Comparison with the Traditional Adaptive Fuzzy Backstepping Design
6.5 Simulation
6.6 Conclusion
References
Part II Permanent Magnet Synchronous Motor (PMSM)
7 Adaptive Fuzzy Tracking Control for a PMSM via Backstepping Approach
7.1 Introduction
7.2 Mathematical Model of the PMSM Drive System and Preliminaries
7.3 Adaptive Fuzzy Controller with the Backstepping Technique
7.4 A Comparison with the Conventional Backstepping Design
7.4.1 Conventional Backstepping Design
7.4.2 Simulation
7.5 Conclusion
References
8 Adaptive Fuzzy Backstepping Position Tracking Control for PMSM
8.1 Introduction
8.2 Mathematical Model of the PMSM Drive System and Preliminaries
8.3 Adaptive Fuzzy Controller with the Backstepping Technique
8.4 A Comparison with the Conventional Backstepping Design
8.4.1 Conventional Backstepping Design
8.4.2 Simulation
8.5 Conclusion
References
9 Neural Networks-Based Adaptive DSC for PMSM
9.1 Introduction
9.2 Mathematical Model of the PMSM Drive System and Preliminaries
9.3 Adaptive Dynamic Surface Control for PMSM
9.4 A Comparison with the Classical Backstepping Design
9.4.1 Classical Backstepping Design
9.4.2 Simulation Results
9.5 Conclusion
References
10 Discrete-Time Adaptive Position Tracking Control for IPMSM
10.1 Introduction
10.2 Mathematical Model of the IPMSM Drive System and Preliminaries
10.3 Discrete-Time Fuzzy Control for IPMSM
10.4 Simulation Results
10.5 Conclusion
References
11 Adaptive Fuzzy Tracking Control for the Chaotic PMSM Drive System
11.1 Introduction
11.2 Mathematical Model of Chaotic PMSM Drive System and Preliminaries
11.3 Adaptive Fuzzy Controller with the Backstepping Technique
11.4 Simulation Results
11.4.1 Classical Backstepping Design
11.4.2 Simulation
11.5 Conclusion
References
12 Fuzzy-Approximation-Based Adaptive Control of the Chaotic PMSM
12.1 Introduction
12.2 Mathematical Model of Chaotic PMSM Drive System and Preliminaries
12.3 Adaptive Fuzzy Controller with the Backstepping Technique
12.4 Simulation Results
12.4.1 Classical Backstepping Design
12.4.2 Simulation
12.5 Conclusion
References
Part III Summary
13 Conclusion and Further Work
13.1 Conclusion
13.2 Further Work