Electrical Actuators

Bernard de Fornel works for ENS Cachan, France. Jean-Paul Louis works for ENSEEIHT, Toulouse, France.

• Introduction xiiiBernard DE FORNEL and Jean-Paul LOUISPART I. MEASURES AND IDENTIFICATIONS 1Chapter 1. Identification of Induction Motor in Sinusoidal Mode 3Edouard LAROCHE and Jean-Paul LOUIS1.1. Introduction 31.2. The models 41.3. Traditional methods from a limited number of measurements 171.4. Estimation by minimization of a criteria based on admittance 241.5. Linear estimation 361.6. Conclusion 441.7. Appendix 451.8. Bibliography 47Chapter 2. Modeling and Parameter Determination of the Saturated Synchronous Machine 49Ernest MATAGNE and Emmanuel DE JAEGER2.1. Modeling of the synchronous machine: general theory 492.2. Classical models and tests 832.3. Advanced models: the synchronous machine in saturated mode 1002.4. Bibliography 116Chapter 3. Real-Time Estimation of the Induction Machine Parameters 119Luc LORON3.1. Introduction 1193.2. Objectives of parameter estimation 1213.3. Fundamental problems 1243.4. Least square methods 1383.5. Extended Kalman filter 1463.6. Extended Luenberger observer 1583.7. Conclusion 1683.8. Appendix: machine characteristics 1693.9. Bibliography 169PART II. OBSERVER EXAMPLES 175Chapter 4. Linear Estimators and Observers for the Induction Machine (IM) 177Maria PIETRZAK-DAVID, Bernard DE FORNEL and Alain BOUSCAYROL4.1. Introduction 1774.2. Estimation models for the induction machine 1784.3. Flux estimation 1864.4. Flux observation1904.5. Linear stochastic observers—Kalman–Bucy filters 1984.6. Separate estimation and observation structures of the rotation speed 2104.7. Adaptive observer 2234.8. Variable structure mechanical observer (VSMO) 2344.9. Conclusion 2484.10. Bibliography 249Chapter 5. Decomposition of a Determinist Flux Observer for the Induction Machine: Cartesian and Reduced Order Structures 251Alain BOUSCAYROL, Maria PIETRZAK-DAVID and Bernard DE FORNEL5.1. Introduction 2515.2. Estimation models for the induction machine 2525.3. Cartesian observers 2605.4. Reduced order observers 2715.5. Conclusion on Cartesian and reduced order observers 2815.6. Appendix: parameters of the study induction machine 2815.7. Bibliography 281Chapter 6. Observer Gain Determination Based on Parameter Sensitivity Analysis 285Benoît ROBYNS6.1. Introduction 2856.2. Flux observers 2866.3. Analysis method of the parametric sensitivity 2936.4. Choice of observer gains 2986.5. Reduced order flux observer 3016.6. Full order flux observer 3106.7. Conclusion 3166.8. Appendix: parameters of the squirrel-cage induction machine 3196.9. Bibliography 319Chapter 7. Observation of the Load Torque of an Electrical Machine 321Maurice FADEL and Bernard DE FORNEL7.1. Introduction 3217.2. Characterization of a load torque relative to an axis of rotation 3227.3. Modal control of the actuator with load torque observation 3307.4. Observation of load torque 3427.5. Robustness of control law by state feedback with observation of the resistant torque 3777.6. Experimental results 3867.7. Conclusion 3997.8. Bibliography 401Chapter 8. Observation of the Rotor Position to Control the Synchronous Machine without Mechanical Sensor 405Stéphane CAUX and Maurice FADEL8.1. State of the art 4058.2. Reconstruction of the low-resolution position 4098.3. Exact reconstruction by redundant observer 4148.4. Exact reconstruction by Kalman filter 4368.5. Comparison of reconstructions by Kalman filter or analytical redundancy observer 4518.6. Bibliography 458List of Authors 461Index 463

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