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Record Nr. |
UNINA9911022472203321 |
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Autore |
Zhu Ziqiang, Ph. D. |
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Titolo |
Parameter Estimation of Permanent Magnet Synchronous Machines |
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Pubbl/distr/stampa |
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Newark : , : John Wiley & Sons, Incorporated, , 2025 |
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©2025 |
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ISBN |
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1-394-28045-9 |
1-394-28044-0 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (291 pages) |
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Collana |
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IEEE Press Series on Control Systems Theory and Applications Series |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Parameter estimation |
Permanent magnet motors |
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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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Cover -- Half Title Page -- Title Page -- Copyright -- Contents -- Authors -- Preface -- List of Abbreviations -- List of Symbols -- Chapter 1: General Introduction -- 1.1 Introduction -- 1.2 Permanent Magnet Machines -- 1.3 Basic Equations and Machine Parameters -- 1.3.1 Fundamental Mathematical Model for PMSMs -- 1.3.2 Mathematical Model Considering Magnetic Saturation, Thermal Effect, and Iron Loss -- 1.3.2.1 Influence of Magnetic Saturation -- 1.3.2.2 Influence of Temperature -- 1.3.2.3 Influence of Iron Loss -- 1.4 Drives and Control Strategies -- 1.4.1 Drive System of PMSM -- 1.4.2 Space Vector Pulse Width Modulation -- 1.5 Outline of Parameter Estimation Techniques -- 1.5.1 Offline Parameter Estimation -- 1.5.2 Online Parameter Estimation -- 1.6 Scope of This Book -- References -- Chapter 2: Critical Issues with Online Parameter Estimation -- 2.1 Rank-Deficient Problem -- 2.1.1 Rank-Deficient Issue -- 2.1.2 Experimental Analysis and Results -- 2.2 Non-linearity of VSI -- 2.2.1 Modelling of VSI Non-linearity -- 2.2.1.1 VSI Modelling in abc Stationary Reference Frame -- 2.2.1.2 VSI Modelling in dq Rotating Reference Frame -- 2.2.2 VSI Non-linearity Estimation and Compensation -- 2.2.2.1 Estimation of VSI Non-linearity -- 2.2.2.2 Online Compensation of VSI Non-linearity -- 2.2.3 Influences of VSI |
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Non-linearity on Parameter Estimation -- 2.3 Ill-Conditioned Problem -- 2.4 Summary -- References -- Chapter 3: Online Estimation of Rotor Flux Linkage with the Aid of Thermocouples in Stator Windings -- 3.1 Introduction -- 3.2 Online Estimation of Rotor Flux Linkage with the Aid of Thermocouples in Stator Windings -- 3.2.1 Online Estimation of Rotor Flux Linkage -- 3.2.2 Thermal Condition Monitoring of Rotor PM -- 3.3 Summary -- References -- Chapter 4: Online Parameter Estimation Based on Current Injections -- 4.1 Introduction. |
4.2 Multi-parameter Estimation Based on Current Injection and Error Analysis -- 4.2.1 Designed Parameter Estimation Scheme -- 4.2.2 Error Analysis -- 4.2.3 Experimental Results -- 4.3 Winding Resistance and Rotor Flux Linkage Estimation Based on Current Injection under Constant Torque/Speed Control -- 4.3.1 Designed Parameter Estimation Scheme -- 4.3.2 Error Analysis and Experimental Validation -- 4.4 Summary -- References -- Chapter 5: Online Parameter Estimation Based on Position Offset Injection -- 5.1 Introduction -- 5.2 Phasor Analysis of Rotor Position Offset in PMSMs -- 5.3 Position Offset-based Estimation with id = 0 Under Constant Torque/Speed Control -- 5.3.1 Designed Estimation Method -- 5.3.1.1 Estimation of Rotor PM Flux Linkage pm and Stator Winding Resistance Rs -- 5.3.1.2 Estimation of q-axis Inductance Lq -- 5.3.1.3 Estimation of d-axis Inductance Ld -- 5.3.2 Experimental and FEA Results -- 5.3.2.1 Experimental Results of Estimated pm and Rs -- 5.3.2.2 Experimental Results of Estimated Ld and Lq -- 5.4 Position Offset-based Estimation with id = 0 Under Variable Speed Control -- 5.4.1 Designed Estimation Method -- 5.4.2 Experimental and FEA Results -- 5.5 Position Offset-based Estimation with id ≠ 0 Under Constant Torque/Speed Control -- 5.5.1 Designed Estimation Method -- 5.5.1.1 Estimation of Rotor PM Flux Linkage pm and Inductances' Saliency Δ -- 5.5.1.2 Estimation of dq-axis Inductances -- 5.5.2 Experimental and FEA Results -- 5.6 Position Offset-based Estimation with id = 0 and id ≠ 0 Under Constant and Variable Speed Control -- 5.6.1 Designed Estimation Method -- 5.6.2 Experimental and FEA Results -- 5.7 Analysis of Amplitude of Position Offset Injection -- 5.8 Summary -- References -- Chapter 6: Online Parameter Estimation Under Variable Speed Control -- 6.1 Introduction. |
6.2 Estimation of Stator Resistance, Inductances, and Rotor PM Flux Linkage -- 6.2.1 Identifiability Analysis and Influence of VSI Non-linearity -- 6.2.2 Improved Estimation Scheme -- 6.2.3 Experimental Results -- 6.3 Estimation of dq-axis Flux Linkage Maps with Uncertainties of Circuit Resistance and Inverter Non-linearity -- 6.3.1 Modelling of Cost Functions for Identification of Flux Linkages -- 6.3.2 Minimization of Cost Functions -- 6.3.3 Experimental Results -- 6.3.3.1 Data Recording and FE-predicted Flux Linkage Maps -- 6.3.3.2 Identification of dq-axis Flux Linkage Maps -- 6.3.3.3 Influence of Uncertain Circuit Resistance -- 6.3.3.4 Derivation of dq-axis Inductances -- 6.3.3.5 MTPA Current Trajectory Based on dq-axis Flux Linkage Maps -- 6.4 Summary -- References -- Chapter 7: Estimation of Magnetic Saturation and Cross-coupling Based on High-frequency Signal Injection -- 7.1 Introduction -- 7.2 Magnetic Saturation Modelling and Time Delay Effect in HF Signal Injection -- 7.2.1 Fundamental Mathematical Model -- 7.2.2 Time Delay Effect in HF Signal Injection Methods -- 7.3 HF Rotating Voltage Injection Method -- 7.4 HF Pulsating Voltage Injection Method -- 7.4.1 With the Aid of Position Estimator -- 7.4.2 Without the Aid of Position Estimator -- 7.5 Combined HF Rotating and Pulsating Voltage Injection Method -- 7.6 Experimental Results -- 7.6.1 Evaluation of Estimation Performance -- 7.6.2 Comparison with FE Results -- 7.6.3 Selection of Injected Voltage |
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-- 7.7 Summary -- References -- Chapter 8: Offline and Multi-step Parameter Estimation Methods -- 8.1 Introduction -- 8.2 Parameter Estimation at Standstill by Square Voltage Injection -- 8.3 Parameter Estimation at Standstill by HF Current Injection -- 8.3.1 Estimation Based on Current Variations -- 8.3.2 Estimation Based on Zero-crossing Detection -- 8.4 Multi-step Parameter Estimation. |
8.4.1 Two-step Estimation Method -- 8.4.2 Three-step Estimation Method -- 8.5 Summary -- References -- Chapter 9: Estimation of Mechanical Parameters -- 9.1 Introduction -- 9.2 Mechanical Parameter Estimation Methods -- 9.2.1 Acceleration/Deceleration-Based Method -- 9.2.2 MRAS Observer-Based Method -- 9.2.3 Fundamental Motion Equation-Based Estimation Method -- 9.2.4 Critical Issue of Torque Prediction -- 9.3 Experimental Results -- 9.3.1 Comparison Between Schemes I and III -- 9.3.2 Comparison Between Schemes II and III -- 9.3.3 Influence of Variation in Rotor PM Flux Linkage -- 9.3.4 Sensitivity Analysis of Sinusoidal Perturbation Signal -- 9.4 Design of PI Speed Regulator -- 9.5 Summary -- References -- Chapter 10: Modern Control and Optimization Theory-Based Parameter Estimation Algorithms -- 10.1 Introduction -- 10.2 Designed Parameter Estimation Scheme -- 10.3 Recursive Least-Squares -- 10.3.1 Basic Principle -- 10.3.2 Application to Parameter Estimation for PMSMs -- 10.4 Kalman Filter -- 10.4.1 Basic Principle -- 10.4.1.1 Conventional Kalman Filter -- 10.4.1.2 Extended Kalman Filters -- 10.4.2 Application to Parameter Estimation for PMSMs -- 10.5 Model Reference Adaptive System -- 10.5.1 Basic Principle -- 10.5.2 Application to Parameter Estimation for PMSMs -- 10.6 Adaline Neural Network -- 10.6.1 Basic Principle -- 10.6.2 Application to Parameter Estimation for PMSMs -- 10.7 Gradient-Based Methods -- 10.7.1 Basic Principle -- 10.7.1.1 Steepest Descent Method -- 10.7.1.2 Newton's Method -- 10.7.1.3 Gauss-Newton Method -- 10.7.2 Application to Parameter Estimation for PMSMs -- 10.8 Particle Swarm Optimization -- 10.8.1 Basic Principle -- 10.8.2 Application to Parameter Estimation for PMSMs -- 10.9 Genetic Algorithm -- 10.9.1 Basic Principle -- 10.9.2 Application to Parameter Estimation for PMSMs -- 10.10 Summary -- References. |
Chapter 11: Applications of Parameter Estimation -- 11.1 Introduction -- 11.2 Improvement in Control Performance -- 11.2.1 Design of PI Regulators for FOC -- 11.2.1.1 Parameter-Based PI Regulator Design -- 11.2.1.2 Parameter Estimation -- 11.2.1.3 Designed PI Regulators and Experimental Performance -- 11.2.2 Determination of MTPA Current Trajectory -- 11.3 Improvement in Sensorless Control -- 11.3.1 Improvement in Sensorless Control Performance -- 11.3.1.1 Extended Back-EMF-Based Method -- 11.3.1.2 High-frequency Signal Injection-Based Method -- 11.3.2 Application of Parameter Estimation Under Sensorless Control -- 11.3.2.1 Position-offset-Based Online Parameter Estimation Under Sensorless Control -- 11.3.2.2 Experimental Results -- 11.4 Precise Torque Estimation -- 11.4.1 HF Square Wave Voltage Injection Considering Cross-coupling Effect -- 11.4.2 Torque Estimation Based on Estimated HF Inductances -- 11.5 Thermal Condition Monitoring -- 11.6 Fault Diagnosis -- 11.6.1 Inter-turn Short-circuit Fault -- 11.6.2 Demagnetization Fault -- 11.7 Summary -- References -- Appendix A: Finite Element Calculation of Winding Inductances -- Appendix B: Specifications of Prototype Machines and Experimental Platforms -- Index -- EULA. |
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Sommario/riassunto |
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"Parameter estimation is crucial for high-performance permanent magnet synchronous machine (PMSM) drives. Many commercial PMSM drives include parameter estimation features, often considered black boxes for online/offline estimation. However, due to commercial |
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sensitivity, techniques are rarely shared, and estimation performance varies between companies. Developing reliable, generic methods to reduce errors, especially under varying speeds and loads, remains a challenge."-- |
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