Torque Ripple Minimization of PMSM Using Parameter Optimization Based Iterative Learning Control

- Journal title : Journal of Electrical Engineering and Technology
- Volume 11, Issue 2, 2016, pp.425-436
- Publisher : The Korean Institute of Electrical Engineers
- DOI : 10.5370/JEET.2016.11.2.425

Title & Authors

Torque Ripple Minimization of PMSM Using Parameter Optimization Based Iterative Learning Control

Xia, Changliang; Deng, Weitao; Shi, Tingna; Yan, Yan;

Xia, Changliang; Deng, Weitao; Shi, Tingna; Yan, Yan;

Abstract

In this paper, a parameter optimization based iterative learning control strategy is presented for permanent magnet synchronous motor control. This paper analyzes the mechanism of iterative learning control suppressing PMSM torque ripple and discusses the impact of controller parameters on steady-state and dynamic performance of the system. Based on the analysis, an optimization problem is constructed, and the expression of the optimal controller parameter is obtained to adjust the controller parameter online. Experimental research is carried out on a 5.2kW PMSM. The results show that the parameter optimization based iterative learning control proposed in this paper achieves lower torque ripple during steady-state operation and short regulating time of dynamic response, thus satisfying the demands for both steady state and dynamic performance of the speed regulating system.

Keywords

Iterative learning control;Permanent magnet synchronous motor;Periodic disturbance;Parameter optimization;Torque ripple minimization;

Language

English

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