The problem of parameter estimation of permanent-magnet synchronous machines (PMSMs) can be formulated as a nonlinear optimization problem. To obtain accurate machine parameters, it is necessary to develop easily applicable but efficient optimization algorithms to solve the parameter estimation models. This paper proposes a novel dynamic differential evolution with adaptive mutation operator (AMDDE) algorithm for the multiparameter simultaneous estimation of a nonsalient pole PMSM. The dynamic updating of population enables AMDDE to responds to any improved changes of the population immediately and thus generates better optimization solutions compared with the static mechanism used in original differential evolution. Two mutation strategies, namely DE/rand/1 and DE/best/1, are adaptively employed to balance the global exploration and local exploitation. The effectiveness of the proposed AMDDE is demonstrated on the multiparameter estimation for a nonsalient pole PMSM. Experimental results indicate that the proposed method significantly outperforms the existing peer algorithms in efficiency, accuracy, and robustness. Furthermore, the new algorithm can be potentially realized in digital microcontroller due to its simple structure and lower memory requirement. The proposed algorithm can also be applied to other parameter estimation and optimization problems.
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June 2017
Research-Article
Parameter Identification of Permanent Magnet Synchronous Machine Based on an Adaptive Mutation Dynamic Differential Evolution
Lianghong Wu,
Lianghong Wu
School of Information and Electrical Engineering,
Hunan University of Science and Technology,
Xiangtan, Hunan 411201, China
e-mail: lhwu@hnust.edu.cn
Hunan University of Science and Technology,
Xiangtan, Hunan 411201, China
e-mail: lhwu@hnust.edu.cn
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Zhao-Hua Liu,
Zhao-Hua Liu
School of Information and Electrical Engineering,
Hunan University of Science and Technology,
Xiangtan, Hunan 411201, China
e-mail: zhaohualiu2009@hotmail.com
Hunan University of Science and Technology,
Xiangtan, Hunan 411201, China
e-mail: zhaohualiu2009@hotmail.com
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Hua-Liang Wei,
Hua-Liang Wei
Department of Automatic Control
and Systems Engineering,
The University of Sheffield,
Sheffield S1 3JD, UK
e-mail: w.hualiang@sheffield.ac.uk
and Systems Engineering,
The University of Sheffield,
Sheffield S1 3JD, UK
e-mail: w.hualiang@sheffield.ac.uk
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Qing-Chang Zhong,
Qing-Chang Zhong
Department of Electrical and
Computer Engineering,
Illinois Institute of Technology,
Chicago, IL 60616
e-mail: zhongqc@ieee.org
Computer Engineering,
Illinois Institute of Technology,
Chicago, IL 60616
e-mail: zhongqc@ieee.org
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Xiao-Shi Xiao
Xiao-Shi Xiao
School of Information and Electrical Engineering,
Hunan University of Science and Technology,
Xiangtan, Hunan 411201, China
e-mail: xiaoxs2005@163.com
Hunan University of Science and Technology,
Xiangtan, Hunan 411201, China
e-mail: xiaoxs2005@163.com
Search for other works by this author on:
Lianghong Wu
School of Information and Electrical Engineering,
Hunan University of Science and Technology,
Xiangtan, Hunan 411201, China
e-mail: lhwu@hnust.edu.cn
Hunan University of Science and Technology,
Xiangtan, Hunan 411201, China
e-mail: lhwu@hnust.edu.cn
Zhao-Hua Liu
School of Information and Electrical Engineering,
Hunan University of Science and Technology,
Xiangtan, Hunan 411201, China
e-mail: zhaohualiu2009@hotmail.com
Hunan University of Science and Technology,
Xiangtan, Hunan 411201, China
e-mail: zhaohualiu2009@hotmail.com
Hua-Liang Wei
Department of Automatic Control
and Systems Engineering,
The University of Sheffield,
Sheffield S1 3JD, UK
e-mail: w.hualiang@sheffield.ac.uk
and Systems Engineering,
The University of Sheffield,
Sheffield S1 3JD, UK
e-mail: w.hualiang@sheffield.ac.uk
Qing-Chang Zhong
Department of Electrical and
Computer Engineering,
Illinois Institute of Technology,
Chicago, IL 60616
e-mail: zhongqc@ieee.org
Computer Engineering,
Illinois Institute of Technology,
Chicago, IL 60616
e-mail: zhongqc@ieee.org
Xiao-Shi Xiao
School of Information and Electrical Engineering,
Hunan University of Science and Technology,
Xiangtan, Hunan 411201, China
e-mail: xiaoxs2005@163.com
Hunan University of Science and Technology,
Xiangtan, Hunan 411201, China
e-mail: xiaoxs2005@163.com
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received June 10, 2016; final manuscript received November 10, 2016; published online March 23, 2017. Assoc. Editor: Davide Spinello.
J. Dyn. Sys., Meas., Control. Jun 2017, 139(6): 061006 (9 pages)
Published Online: March 23, 2017
Article history
Received:
June 10, 2016
Revised:
November 10, 2016
Citation
Wu, L., Liu, Z., Wei, H., Zhong, Q., and Xiao, X. (March 23, 2017). "Parameter Identification of Permanent Magnet Synchronous Machine Based on an Adaptive Mutation Dynamic Differential Evolution." ASME. J. Dyn. Sys., Meas., Control. June 2017; 139(6): 061006. https://doi.org/10.1115/1.4035239
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