Parameter Identification for PMSM Based on Varying Forgetting Factor Multi-innovation Stochastic Gradient Identification Algorithm

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• 英文论文题名：Parameter Identification for PMSM Based on Varying Forgetting Factor Multi-innovation Stochastic Gradient Identification Algorithm
• 论文作者：Wu Dinghui ; Zhang Jianyu ; Huang Xu ; Ji Zhicheng
• 英文论文作者：Wu Dinghui ; Zhang Jianyu ; Huang Xu ; Ji Zhicheng ; Key Laboratory of Advanced Process Control for Light Industry ; Ministry of Education Jiangnan University
• 年：2017
• 作者机构：Key Laboratory of Advanced Process Control for Light Industry,Ministry of Education Jiangnan University;
• 英文论文关键词：parameter identification ; PMSM ; forgetting factor ; multi-innovation
• 会议召开时间：2017-07-26
• 会议录名称：第36届中国控制会议论文集（B）
• 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
• 语种：英文
• 分类号：TM341
• 学会代码：KZLL
• 会议名称：第36届中国控制会议
• 会议地点：中国辽宁大连
• 主办单位：中国自动化学会控制理论专业委员会
• 学会名称：中国自动化学会控制理论专业委员会
• 页数：6
• 文件大小：318k
• 原文格式：D
• 会议级别：全国

摘要

Aiming at the inaccurate result of traditional identification algorithm and the variation of motor parameters,a new algorithm based on time varying forgetting factor multi-innovation stochastic gradient is proposed.Based on the voltage equation of permanent magnet synchronous motor system,a discrete identification model is constructed.The vector control method is used to control the motor,the input and output data of the identification model is obtained,and the rotor resistance and inductance parameters are identified.Simulation results show that the algorithm can accurately identify the parameters of permanent magnet synchronous motor based on the new random gradient algorithm with variable forgetting factor.
Aiming at the inaccurate result of traditional identification algorithm and the variation of motor parameters,a new algorithm based on time varying forgetting factor multi-innovation stochastic gradient is proposed.Based on the voltage equation of permanent magnet synchronous motor system,a discrete identification model is constructed.The vector control method is used to control the motor,the input and output data of the identification model is obtained,and the rotor resistance and inductance parameters are identified.Simulation results show that the algorithm can accurately identify the parameters of permanent magnet synchronous motor based on the new random gradient algorithm with variable forgetting factor.

引文

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