Predictive control of power converters and electrical drives

The application Model Predictive Control (MPC) controls electrical energy with the use of power converters and offers a highly flexible alternative to the use of modulators and linear controllers. This new approach takes into account the discrete and nonlinear nature of the power converters and driv...

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Detalles Bibliográficos
Autor principal: Rodriguez Perez, Jose (-)
Otros Autores: Estay, Patricio Cortes
Formato: Libro electrónico
Idioma:Inglés
Publicado: Chichester, West Sussex ; Hoboken, N.J. : John Wiley & Sons, Ltd 2012.
Edición:1st edition
Colección:Wiley - IEEE ; 44
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628077406719
Tabla de Contenidos:
  • Front Matter
  • Introduction. Introduction
  • Classical Control Methods for Power Converters and Drives
  • Model Predictive Control
  • Model Predictive Control Applied to Power Converters. Predictive Control of a Three-Phase Inverter
  • Predictive Control of a Three-Phase Neutral-Point Clamped Inverter
  • Control of an Active Front-End Rectifier
  • Control of a Matrix Converter
  • Model Predictive Control Applied to Motor Drives. Predictive Control of Induction Machines
  • Predictive Control of Permanent Magnet Synchronous Motors
  • Design and Implementation Issues of Model Predictive Control. Cost Function Selection
  • Weighting Factor Design
  • Delay Compensation
  • Effect of Model Parameter Errors
  • Appendix A: Predictive Control Simulation ₆ Three-Phase Inverter
  • Appendix B: Predictive Control Simulation ₆ Torque Control of an Induction Machine Fed by a Two-Level Voltage Source Inverter
  • Appendix C: Predictive Control Simulation ₆ Matrix Converter
  • Index.