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Robust nonlinear predictive controller for permanent-magnet synchronous motors with an optimized cost function
journal contribution
posted on 2012-12-11, 14:13 authored by Rachid Errouissi, Mohand Ouhrouche, Wen-Hua ChenWen-Hua Chen, A.M. TrzynadlowskiA 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 - 2858Publisher
© IEEEVersion
- SMUR (Submitted Manuscript Under Review)
Publication date
2012Notes
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=1ISSN
0278-0046Publisher version
Language
- en