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

Rachid Errouissi, Mohand Ouhrouche, Wen Hua Chen, Andrzej M. Trzynadlowski

Research output: Contribution to journalArticlepeer-review

172 Citations (Scopus)

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.

Original languageEnglish
Article number5771565
Pages (from-to)2849-2858
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Volume59
Issue number7
DOIs
Publication statusPublished - Jul 2012
Externally publishedYes

Keywords

  • Digital signal processors
  • nonlinear optimization problem
  • permanent-magnet synchronous motor (PMSM)
  • robust nonlinear predictive control (RNPC)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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