Electrical Actuators: Applications and PerformanceISBN: 978-1-84821-096-7
Hardcover
528 pages
May 2010, Wiley-ISTE
|
Introduction xiii
Bernard DE FORNEL and Jean-Paul LOUIS
PART I. MEASURES AND IDENTIFICATIONS 1
Chapter 1. Identification of Induction Motor in Sinusoidal
Mode 3
Edouard LAROCHE and Jean-Paul LOUIS
1.1. Introduction 3
1.2. The models 4
1.3. Traditional methods from a limited number of measurements 17
1.4. Estimation by minimization of a criteria based on admittance 24
1.5. Linear estimation 36
1.6. Conclusion 44
1.7. Appendix 45
1.8. Bibliography 47
Chapter 2. Modeling and Parameter Determination of the
Saturated Synchronous Machine 49
Ernest MATAGNE and Emmanuel DE JAEGER
2.1. Modeling of the synchronous machine: general theory 49
2.2. Classical models and tests 83
2.3. Advanced models: the synchronous machine in saturated mode 100
2.4. Bibliography 116
Chapter 3. Real-Time Estimation of the Induction Machine
Parameters 119
Luc LORON
3.1. Introduction 119
3.2. Objectives of parameter estimation 121
3.3. Fundamental problems 124
3.4. Least square methods 138
3.5. Extended Kalman filter 146
3.6. Extended Luenberger observer 158
3.7. Conclusion 168
3.8. Appendix: machine characteristics 169
3.9. Bibliography 169
PART II. OBSERVER EXAMPLES 175
Chapter 4. Linear Estimators and Observers for the Induction
Machine (IM) 177
Maria PIETRZAK-DAVID, Bernard DE FORNEL and Alain
BOUSCAYROL
4.1. Introduction 177
4.2. Estimation models for the induction machine 178
4.3. Flux estimation 186
4.4. Flux observation190
4.5. Linear stochastic observers—Kalman–Bucy filters 198
4.6. Separate estimation and observation structures of the rotation speed 210
4.7. Adaptive observer 223
4.8. Variable structure mechanical observer (VSMO) 234
4.9. Conclusion 248
4.10. Bibliography 249
Chapter 5. Decomposition of a Determinist Flux Observer for
the Induction Machine: Cartesian and Reduced Order Structures
251
Alain BOUSCAYROL, Maria PIETRZAK-DAVID and Bernard DE
FORNEL
5.1. Introduction 251
5.2. Estimation models for the induction machine 252
5.3. Cartesian observers 260
5.4. Reduced order observers 271
5.5. Conclusion on Cartesian and reduced order observers 281
5.6. Appendix: parameters of the study induction machine 281
5.7. Bibliography 281
Chapter 6. Observer Gain Determination Based on Parameter
Sensitivity Analysis 285
Benoît ROBYNS
6.1. Introduction 285
6.2. Flux observers 286
6.3. Analysis method of the parametric sensitivity 293
6.4. Choice of observer gains 298
6.5. Reduced order flux observer 301
6.6. Full order flux observer 310
6.7. Conclusion 316
6.8. Appendix: parameters of the squirrel-cage induction machine 319
6.9. Bibliography 319
Chapter 7. Observation of the Load Torque of an Electrical
Machine 321
Maurice FADEL and Bernard DE FORNEL
7.1. Introduction 321
7.2. Characterization of a load torque relative to an axis of rotation 322
7.3. Modal control of the actuator with load torque observation 330
7.4. Observation of load torque 342
7.5. Robustness of control law by state feedback with observation of the resistant torque 377
7.6. Experimental results 386
7.7. Conclusion 399
7.8. Bibliography 401
Chapter 8. Observation of the Rotor Position to Control the
Synchronous Machine without Mechanical Sensor 405
Stéphane CAUX and Maurice FADEL
8.1. State of the art 405
8.2. Reconstruction of the low-resolution position 409
8.3. Exact reconstruction by redundant observer 414
8.4. Exact reconstruction by Kalman filter 436
8.5. Comparison of reconstructions by Kalman filter or analytical redundancy observer 451
8.6. Bibliography 458
List of Authors 461
Index 463