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

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conference contribution
posted on 2011-01-13, 13:00 authored by Rachid Errouissi, Mohand Ouhrouche, Wen-Hua ChenWen-Hua Chen
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.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Citation

ERROUISSI, R., OUHROUCHE, M. and CHEN, W-H., 2010. Robust nonlinear generalized predictive control of a permanent magnet synchronous motor with an anti-windup compensator. IN: IEEE International Symposium on Industrial Electronics (ISIE), Bari, 4-7 July, 7pp.

Publisher

© IEEE

Version

  • VoR (Version of Record)

Publication date

2010

Notes

This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

ISBN

9781424463909

Language

  • en