Table of Contents

Introduction

Part I. Measures and Identifications

Chapter 1. Identification of Induction Motor in Sinusoidal Mode

1.1. Introduction

1.2. The models

1.3. Traditional methods from a limited number of measurements

1.4. Estimation by minimization of a criteria based on admittance

1.5. Linear estimation

1.6. Conclusion

1.7. Appendix

1.8. Bibliography

Chapter 2. Modeling and Parameter Determination of the Saturated Synchronous Machine

2.1. Modeling of the synchronous machine: general theory

2.2. Classical models and tests

2.3. Advanced models: the synchronous machine in saturated mode

2.4. Bibliography

Chapter 3. Real-Time Estimation of the Induction Machine Parameters

3.1. Introduction

3.2. Objectives of parameter estimation

3.3. Fundamental problems

3.4. Least square methods

3.5. Extended Kalman filter

3.6. Extended Luenberger observer

3.7. Conclusion

3.8. Appendix: machine characteristics

3.9. Bibliography

Part II. Observer Examples

Chapter 4. Linear Estimators and Observers for the Induction Machine (IM)

4.1. Introduction

4.2. Estimation models for the induction machine

4.3. Flux estimation

4.4. Flux observation

4.5. Linear stochastic observers—Kalman-Bucy filters

4.6. Separate estimation and observation structures of the rotation speed

4.7. Adaptive observer

4.8. Variable structure mechanical observer (VSMO)

4.9. Conclusion

4.10. Bibliography

Chapter 5. Decomposition of a Determinist Flux Observer for the Induction Machine: Cartesian and Reduced Order Structures ...

Get Electrical Actuators: Applications and Performance now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.