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Muestra
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Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters describes the application of model predictive control techniques with modulator and finite control sets to squirrel cage induction motor and in doubly-fed induction generators using field orientation control techniques as both current control and direct power control. Sections discuss induction machines, their key modulation techniques, introduce the utility of model predictive control, review core concepts of vector control, direct torque control, and direct power control alongside novel approaches of MPC. Mathematical modeling of cited systems, MPC theory, their applications, MPC design and simulation in MATLAB are also considered in-depth.

The work concludes by addressing implementation considerations, including generator operation under voltage sags or distorted voltage and inverters connected to the grid operating under distorted voltage. Experimental results are presented in full.

  • Adopts model predictive control design for optimized induction machines geared for complex grid dynamics
  • Demonstrates how to simulate model predictive control using MATLAB and Simulink
  • Presents information about hardware implementation to obtain experimental results
  • Covers generator operation under voltage sags or distorted voltage

1. Chapter 1 Introduction - p. 1 2. Chapter 2 Induction machine and three-phase power converter dynamic models - p. 5 3. Chapter 3 Fundamentals of vector control for DFIG and for the three-phase CCG - p. 27 4. Chapter 4 Fundamentals of model predictive control - p. 43 5. Chapter 5 Modulated FCS-MPC for DFIG-DPC - p. 55 6. Chapter 6 A wireless coded modulated FCS-MPC DPC for renewable energy sources in smart grid environment - p. 67 7. Chapter 7 MPC-WM for doubly-fed induction generator and three-phase CCG - p. 85 8. Chapter 8 Fundamentals of the model predictive repetitive control - p. 107 9. Chapter 9 MPRC-WM for DFIG and three-phase CCG operation under voltage distortions - p. 117 10. Chapter 10 Finite position set phase-locked loop operating under nonideal grid voltages - p. 145 11. Chapter 11 Implementation of DFIG MPC-WM and three-phase power CCG MPRC-WM using Simulink/MATLAB® - p. 157 12. Chapter 12 DFIG and three-phase power CCG experimental setup - p. 191 13. Appendix A DFIG parameters - p. 199 14. Appendix B Three-phase power CCG parameters - p. 201 15. Appendix C DC link voltage representation - p. 203 16. Bibliography - p. 205 17. Index - p. 213

Descripcion
Descripción

Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters describes the application of model predictive control techniques with modulator and finite control sets to squirrel cage induction motor and in doubly-fed induction generators using field orientation control techniques as both current control and direct power control. Sections discuss induction machines, their key modulation techniques, introduce the utility of model predictive control, review core concepts of vector control, direct torque control, and direct power control alongside novel approaches of MPC. Mathematical modeling of cited systems, MPC theory, their applications, MPC design and simulation in MATLAB are also considered in-depth.

The work concludes by addressing implementation considerations, including generator operation under voltage sags or distorted voltage and inverters connected to the grid operating under distorted voltage. Experimental results are presented in full.

  • Adopts model predictive control design for optimized induction machines geared for complex grid dynamics
  • Demonstrates how to simulate model predictive control using MATLAB and Simulink
  • Presents information about hardware implementation to obtain experimental results
  • Covers generator operation under voltage sags or distorted voltage

1. Chapter 1 Introduction - p. 1 2. Chapter 2 Induction machine and three-phase power converter dynamic models - p. 5 3. Chapter 3 Fundamentals of vector control for DFIG and for the three-phase CCG - p. 27 4. Chapter 4 Fundamentals of model predictive control - p. 43 5. Chapter 5 Modulated FCS-MPC for DFIG-DPC - p. 55 6. Chapter 6 A wireless coded modulated FCS-MPC DPC for renewable energy sources in smart grid environment - p. 67 7. Chapter 7 MPC-WM for doubly-fed induction generator and three-phase CCG - p. 85 8. Chapter 8 Fundamentals of the model predictive repetitive control - p. 107 9. Chapter 9 MPRC-WM for DFIG and three-phase CCG operation under voltage distortions - p. 117 10. Chapter 10 Finite position set phase-locked loop operating under nonideal grid voltages - p. 145 11. Chapter 11 Implementation of DFIG MPC-WM and three-phase power CCG MPRC-WM using Simulink/MATLAB® - p. 157 12. Chapter 12 DFIG and three-phase power CCG experimental setup - p. 191 13. Appendix A DFIG parameters - p. 199 14. Appendix B Three-phase power CCG parameters - p. 201 15. Appendix C DC link voltage representation - p. 203 16. Bibliography - p. 205 17. Index - p. 213

Indice
Autores
Muestra
Ficha Técnica