Robust nonlinear generalized predictive control of a permanent magnet synchronous motor with an anti-windup compensator

Rachid Errouissi, Mohand Ouhrouche, Wen Hua Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)

Abstract

This paper presents a robust nonlinear generalized predictive control (RNGPC) strategy applied to a permanent magnet synchronous motor (PMSM) for speed trajectory tracking and disturbance rejection. The nonlinear predictive control law is derived by using a newly defined design cost function. The Taylor series expansion is used to carry out the prediction in a finite horizon. No information about the external perturbation and parameters uncertainties are needed to ensure the robustness of the proposed RNGPC. Moreover, to maintain the phase current within the limits using saturation blocks, a cascaded structure is adopted and an anti-windup compensator is proposed. The validity of the proposed control strategy is implemented on a dSPACE DS1104 board driving in real-time a 0.25 kW PMSM. Experimental results have demonstrated the stability, robustness and the effectiveness of the proposed control strategy regarding trajectory tracking and disturbance rejection.

Original languageEnglish
Title of host publicationISIE 2010 - 2010 IEEE International Symposium on Industrial Electronics
Pages3184-3189
Number of pages6
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE International Symposium on Industrial Electronics, ISIE 2010 - Bari, Italy
Duration: Jul 4 2010Jul 7 2010

Publication series

NameIEEE International Symposium on Industrial Electronics

Conference

Conference2010 IEEE International Symposium on Industrial Electronics, ISIE 2010
Country/TerritoryItaly
CityBari
Period7/4/107/7/10

Keywords

  • Anti-windup compensator
  • Disturbance observer
  • Nonlinear generalized predictive control (NGPC)
  • Permanent magnet synchronous motor (PMSM)
  • Robustness
  • Stability

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

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