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Mathematical Problems in Engineering
Volume 2014, Article ID 160685, 10 pages
http://dx.doi.org/10.1155/2014/160685
Research Article

Parameter Identification of PMSM Using Immune Clonal Selection Differential Evolution Algorithm

1College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
2School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411021, China

Received 21 October 2013; Accepted 9 April 2014; Published 30 April 2014

Academic Editor: Reza Jazar

Copyright © 2014 Guohan Lin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Permanent magnet synchronous motor (PMSM) models with accurate parameters are crucial to high performance PMSM control system designs. As the estimation of PMSM parameters is very difficult due to the nonlinear model complexity, a novel immune clonal differential evolution algorithm (ICDEA) is proposed to identify the electrical parameters of nonsalient pole PMSM. Clonal selection and receptor editing mechanism are introduced to ICDEA to increase the diversity of the population and improve searching capability. The effectiveness of the proposed identification method is verified by both simulation and experiment. The results show that the proposed algorithm has good convergence in simultaneously estimating stator resistance, dq-axis inductances, and rotor flux linkage. In addition, the convergence speed of ICDEA is compared with other differential evolution (DE) algorithms, which verifies that the ICDEA has better performances in global searching.