Marino / Tomei Induction Motor Control Design

1. Auflage 2010
ISBN: 978-1-84996-284-1
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 351 Seiten

Reihe: Advances in Industrial Control

This book provides the most important steps and concerns in the design of estimation and control algorithms for induction motors. A single notation and modern nonlinear control terminology is used to make the book accessible, although a more theoretical control viewpoint is also given. Focusing on the induction motor with, the concepts of stability and nonlinear control theory given in appendices, this book covers: speed sensorless control; design of adaptive observers and parameter estimators; a discussion of nonlinear adaptive controls containing parameter estimation algorithms; and comparative simulations of different control algorithms. The book sets out basic assumptions, structural properties, modelling, state feedback control and estimation algorithms, then moves to more complex output feedback control algorithms, based on stator current measurements, and modelling for speed sensorless control. The induction motor exhibits many typical and unavoidable nonlinear features.

Autoren/Hrsg.

Marino, Riccardo

Tomei, Patrizio

Inhaltsverzeichnis

1;Series Editors’ Foreword;9
2;Preface;12
3;Contents;17
4;1 Dynamical Models and Structural Properties;19
4.1;1.1 Modeling Assumptions;20
4.2;1.2 State Space Models;23
4.3;1.3 Steady-state Operating Conditions with Sinusoidal Voltages;34
4.3.1;1.3.1 Power Loss Minimization;37
4.3.2;1.3.2 Field Weakening;38
4.3.3;1.3.3 Torque–Speed Characteristics;39
4.4;1.4 Inverse System and Tracking Dynamics;53
4.5;1.5 Observability;59
4.6;1.6 Parameter Identifiability;64
4.6.1;1.6.1 Load Torque Identifiability;64
4.6.2;1.6.2 Rotor Resistance Identifiability;66
4.7;1.7 Feedback Linearizability;69
4.8;1.8 Experimental Set-up;73
4.9;1.9 Conclusions;76
4.10;Problems;77
5;2 State Feedback Control;80
5.1;2.1 Stability Analysis of Feedforward Control;81
5.2;2.2 Direct Field-oriented Control;90
5.3;2.3 Indirect Field-oriented Control;100
5.4;2.4 Input–Output Feedback Linearizing Control;110
5.5;2.5 Adaptive Input–Output Feedback Linearizing Control;118
5.6;2.6 Dynamic Feedback Linearizing Control;126
5.7;2.7 Global Control with Arbitrary Rate of Convergence;135
5.8;2.8 Experimental Results;141
5.9;2.9 Conclusions;143
5.10;Problems;146
6;3 Flux Observers and Parameter Estimation;150
6.1;3.1 Nonadaptive Observers;150
6.1.1;3.1.1 Open-loop Rotor Flux Observer;150
6.1.2;3.1.2 Open-loop Rotor Current Observer;153
6.1.3;3.1.3 Rotor Flux Observer with Arbitrary Rate of Convergence;156
6.2;3.2 Adaptive Flux Observer with Rotor Resistance Estimator;161
6.3;3.3 Two Load Torque Estimators;174
6.4;3.4 Experimental Results;179
6.5;3.5 Conclusions;180
6.6;Problems;182
7;4 Output Feedback Control;187
7.1;4.1 Generalized Indirect Field-oriented Control;187
7.2;4.2 Observer-based Control;193
7.3;4.3 Adaptive Observer-based Control with Uncertain Load Torque;203
7.4;4.4 Adaptive Control with Uncertain Load Torque and Rotor Resistance;213
7.4.1;4.4.1 Observer-based Control;215
7.4.2;4.4.2 Global Control;218
7.5;4.5 Experimental Results;234
7.6;4.6 Conclusions;236
7.7;Problems;239
8;5 Speed-sensorless Feedback Control;244
8.1;5.1 PI Control from Stator Current Errors;245
8.2;5.2 Global Control with Flux Measurements;251
8.3;5.3 Adaptive Control with Flux Measurements;259
8.4;5.4 Adaptive Control with Uncertain Load Torque;275
8.5;5.5 Adaptive Control with Uncertain Load Torque and Rotor Resistance;291
8.6;5.6 Conclusions;301
8.7;Problems;304
9;6 Conclusions;307
10;Appendix A - Lyapunov Stability;312
11;Appendix B - Nonlinear Control Theory;323
12;Bibliographical Notes;343
13;References;347
14;Index;359