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Record Nr. |
UNINA9910484359703321 |
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Autore |
Yu Jinpeng |
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Titolo |
Intelligent Backstepping Control for the Alternating-Current Drive Systems / / by Jinpeng Yu, Peng Shi, Jiapeng Liu |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (233 pages) |
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Collana |
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Studies in Systems, Decision and Control, , 2198-4190 ; ; 349 |
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Disciplina |
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Soggetti |
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Automatic control |
Power electronics |
Computational intelligence |
Electric machinery |
Control and Systems Theory |
Power Electronics |
Computational Intelligence |
Electrical Machines |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- 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 |
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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. |
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Sommario/riassunto |
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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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