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Robust nonlinear predictive controller for permanent-magnet synchronous motors with an optimized cost function

journal contribution
posted on 11.12.2012 by Rachid Errouissi, Mohand Ouhrouche, Wen-Hua Chen, A.M. Trzynadlowski
A robust nonlinear predictive controller for permanent-magnet synchronous motors is proposed. The nonlinear predictive control law is formulated by optimizing a novel cost function. A key feature of the proposed control is that it does not require the knowledge of the external perturbation and parameter uncertainties to enhance the robustness. A zero steady-state error is guaranteed by an integral action of the controller. The stability of the closed-loop system is ensured by convergence of the output-tracking error to the origin. The proposed control strategy is verified via simulation and experiment. High performance with respect to speed tracking and current control of the motor has been demonstrated.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Citation

ERROUISSI, R. ... et al, 2012. Robust nonlinear predictive controller for permanent-magnet synchronous motors with an optimized cost function. IEEE Transactions on Industrial Electronics, 59 (7), pp. 2849 - 2858

Publisher

© IEEE

Version

SMUR (Submitted Manuscript Under Review)

Publication date

2012

Notes

This article is closed access, it was published in the journal, IEEE Transactions on Industrial Electronics [© IEEE]. The definitive version is available at: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5771565&tag=1

ISSN

0278-0046

Language

en

Exports