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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| Other Authors: | |
| Format: | eBook |
| Language: | Inglés |
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Chichester, West Sussex ; Hoboken, N.J. :
John Wiley & Sons, Ltd
2012.
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| Edition: | 1st edition |
| Series: | Wiley - IEEE ;
44 |
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| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628077406719 |
Table of Contents:
- 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.
