基于改进樽海鞘群算法的PMSM多参数辨识

doi:10.16182/j.issn1004731x.joss.201811029

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (11): 4284-4292.doi: 10.16182/j.issn1004731x.joss.201811029

基于改进樽海鞘群算法的PMSM多参数辨识

王梦秋, 王艳, 纪志成

江南大学教育部物联网技术应用工程中心,江苏无锡 214122

收稿日期:2018-05-13 修回日期:2018-07-01 发布日期:2019-01-04
作者简介:王梦秋(1994-), 女, 江苏连云港, 硕士生,研究方向为电机参数辨识; 王艳(1978-), 女, 江苏盐城, 博士后, 教授, 研究方向为制造系统能效优化。
基金资助:
国家自然科学基金(61572238), 江苏省杰出青年基金(BK20160001)

Permanent Magnet Synchronous Motor Multi-parameter Identification Based on Improved Salp Swarm Algorithm

Wang Mengqiu, Wang Yan, Ji Zhicheng

Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China

Received:2018-05-13 Revised:2018-07-01 Published:2019-01-04

摘要/Abstract

摘要： 针对永磁同步电机(Permanent Magnet Synchronous Motor, PMSM)多参数辨识速度慢、精度低等问题,提出了一种基于改进樽海鞘群算法的参数辨识方法。采用自适应评估移动策略和基于冯诺依曼拓扑结构的邻域最优引领策略两次更新追随者位置,加强个体间信息交流与协作,进而加快了参数辨识收敛速度;采用反向学习策略以一定变异概率对个体位置进行扰动,算法更易跳出局部最优,进而减小了参数误收敛的可能性。仿真实验表明该算法能快速准确地辨识PMSM参数。

关键词: 樽海鞘群算法, 冯诺依曼结构, 反向学习, 永磁同步电机, 多参数辨识

Abstract: Since the multi-parameter identification of permanent magnet synchronous motor (PMSM) has slow speed and low accuracy, a parameter identification method based on the improved salp swarm algorithm was proposed in this paper. The algorithm firstly adopted the self-adaptive evaluation-move strategy and neighborhood optimum guide strategy based Von Neumann topology to update the position of followers twice, which strengthened information cooperation in the population and accelerated the convergence rate of parameter identification. Secondly, the algorithm used the opposition-based learning strategy to perturb the population position with a certain mutation probability, that avoided local optimum and misconvergence of the parameters. The simulation results show that this algorithm can identify PMSM parameter quickly and accurately.

Key words: salp swarm algorithm, Von Neumann topology, opposition-based learning, PMSM, multi-parameter identification

中图分类号:

TP391.9

王梦秋, 王艳, 纪志成. 基于改进樽海鞘群算法的PMSM多参数辨识[J]. 系统仿真学报, 2018, 30(11): 4284-4292.

Wang Mengqiu, Wang Yan, Ji Zhicheng. Permanent Magnet Synchronous Motor Multi-parameter Identification Based on Improved Salp Swarm Algorithm[J]. Journal of System Simulation, 2018, 30(11): 4284-4292.

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基于改进樽海鞘群算法的PMSM多参数辨识

Permanent Magnet Synchronous Motor Multi-parameter Identification Based on Improved Salp Swarm Algorithm

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