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Robust nonlinear predictive controller for permanent-magnet synchronous motors with an optimized cost function
journal contributionposted on 11.12.2012 by Rachid Errouissi, Mohand Ouhrouche, Wen-Hua Chen, A.M. Trzynadlowski
Any type of content formally published in an academic journal, usually following a peer-review process.
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.
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering