Model Predictive Speed Control of Electrical Machines

José Rodríguez, Marcelo A. Pérez, Héctor Young, Haitham Abu-Rub

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

Model predictive control is a conceptually different control technique which offers a high flexibility to control different power electronics topologies and to manage several control objectives, without adding significant complexity to the system. MPC has demonstrated to be easier to implement and understand than classical speed control techniques such as FOC and DTC providing a high performance control of AC machines. The advances in modern control theory and microprocessors technology, during the last decades, have made it possible to apply MPC to power electronics and drives. The application of model predictive control to power electronics devices is straightforward, due to the availability of precise models and a finite number of control inputs given by the converter switching states. MPC can dramatically change the way electrical energy is controlled using power semiconductors, and it offers challenging opportunities for research in power electronics and electrical drives.

Original languageEnglish
Title of host publicationPower Electronics for Renewable Energy Systems, Transportation and Industrial Applications
PublisherWiley-IEEE Press
Pages608-629
Number of pages22
Volume9781118634035
ISBN (Electronic)9781118755525
ISBN (Print)9781118634035
DOIs
Publication statusPublished - 28 Jul 2014

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Keywords

  • Direct torque control
  • Electrical machine model
  • Field oriented control
  • Microprocessors
  • Predictive control
  • Predictive current control
  • Predictive torque control
  • Speed control
  • Variable speed drives

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Rodríguez, J., Pérez, M. A., Young, H., & Abu-Rub, H. (2014). Model Predictive Speed Control of Electrical Machines. In Power Electronics for Renewable Energy Systems, Transportation and Industrial Applications (Vol. 9781118634035, pp. 608-629). Wiley-IEEE Press. https://doi.org/10.1002/9781118755525.ch19