基于多新息近似最小一乘算法PMSM参数辨识

doi:10.16182/j.issn1004731x.joss.201803029

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (3): 1001-1007.doi: 10.16182/j.issn1004731x.joss.201803029

基于多新息近似最小一乘算法PMSM参数辨识

吴定会, 张建宇, 沈艳霞, 纪志成

江南大学轻工过程先进控制教育部重点实验室,江苏无锡 214122

收稿日期:2016-03-17 出版日期:2018-03-08 发布日期:2019-01-02
作者简介:吴定会(1970-),男,安徽合肥,博士,副教授,研究方向为系统辨识;张建宇(1992-),男,山东济宁,硕士,研究方向为永磁同步电机参数辨识;沈艳霞(1973-),女,山东淄博,博士,教授,博导,研究方向为电力电子与电气传动。
基金资助:
国家自然科学基金(61572237,61573167)

Parameter Identification for PMSM Based on Multi-innovation Approximate Least Absolute Deviation Identification Algorithm

Wu Dinghui, Zhang Jianyu, Shen Yanxia, Ji Zhicheng

Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education Jiangnan University, Wuxi 214122, China

Received:2016-03-17 Online:2018-03-08 Published:2019-01-02

摘要/Abstract

摘要： 针对永磁同步电机受工作环境尖峰噪声信号的影响导致的传统辨识算法辨识结果不精确的问题,提出了多新息近似最小一乘算法。结合永磁同步电机系统电压方程,构建离散辨识模型。采用矢量控制方法控制电机,获得辨识模型输入输出数据,对转子电阻和电感参数进行辨识。仿真结果表明,该算法能够实现在尖峰噪声环境下对永磁同步电机参数的精确辨识。

关键词: 永磁同步电机, SVPWM矢量控制, 遗忘因子, 多新息近似最小一乘, 参数辨识

Abstract: In view of the problem that the results of traditional identification algorithm are not accurate caused by the peak noise signal in the environment, a new algorithm based on the forgetting factor multi-innovation approximate least absolute deviation (MIALAD) identification algorithm is proposed. Combined with the system voltage equation of permanent magnet synchronous motor (PMSM), a discrete identification model is constructed. By using vector control method, the input and output data of the identification model are obtained to identify the rotor resistance and inductance. The simulation results show that this identification algorithm can obtain the accurate parameters of the PMSM model in the peak noise environment.

Key words: permanent magnet synchronous motor (PMSM), SVPWM vector control, forgetting factor, multi-innovation approximate least absolute deviation algorithm, parameter identification

中图分类号:

吴定会, 张建宇, 沈艳霞, 纪志成. 基于多新息近似最小一乘算法PMSM参数辨识[J]. 系统仿真学报, 2018, 30(3): 1001-1007.

Wu Dinghui, Zhang Jianyu, Shen Yanxia, Ji Zhicheng. Parameter Identification for PMSM Based on Multi-innovation Approximate Least Absolute Deviation Identification Algorithm[J]. Journal of System Simulation, 2018, 30(3): 1001-1007.

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基于多新息近似最小一乘算法PMSM参数辨识

Parameter Identification for PMSM Based on Multi-innovation Approximate Least Absolute Deviation Identification Algorithm

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