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Title: Robust nonlinear predictive controller for permanent-magnet synchronous motors with an optimized cost function
Authors: Errouissi, Rachid
Ouhrouche, Mohand
Chen, Wen-Hua
Trzynadlowski, A.M.
Keywords: Digital signal processors
Nonlinear optimization problem
Permanent-magnet synchronous motor (PMSM)
Robust nonlinear predictive control (RNPC)
Issue Date: 2012
Publisher: © IEEE
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
Abstract: 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.
Description: 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
Version: Submitted for publication
DOI: 10.1109/TIE.2011.2157276
URI: https://dspace.lboro.ac.uk/2134/11157
Publisher Link: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5771565&tag=1
ISSN: 0278-0046
Appears in Collections:Closed Access (Aeronautical and Automotive Engineering)

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