内埋式永磁同步电机永磁磁链的在线辨识

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摘要在无速度传感器工作条件下, 为了实现永磁同步电机转子位置和转速的精确控制, 需要对电机参数进行在线辨识。本文研究了无速度传感器控制条件下, 内埋式永磁同步电机永磁磁链的辨识。该调速系统采用转子磁链定向的矢量控制作为基本的控制策略, 利用模型参考自适应系统对转子位置和转速进行估算, 提出了一种基于扩展卡尔曼滤波器的永磁同步电机永磁磁链辨识方法。本文基于上述研究, 实现了无速度传感器控制条件下, 内埋式永磁同步电机永磁磁链的在线辨识, 采用上述方法能够很好地避免由于电机的低阶状态方程而引起的辨识问题。仿真和实验结果证明了该辨识方法的可行性与有效性, 而且在模型参考自适应中采用辨识得到的磁链参数, 能够大幅度降低转子位置的估算误差。

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	史宇超
	孙凯
	马鸿雁
	黄立培

关键词 ：磁链辨识, 内埋式永磁同步电机, 扩展卡尔曼滤波器, 无速度传感器控制

Abstract：In order to realize precise rotor position/speed control of PMSM under sensorless operation, motor parameters should be on-line estimated. In this paper, the identification on permanent magnet flux of interior permanent magnet synchronous motor (IPMSM) under speed sensorless control is investigated. A rotor flux oriented vector control with model reference adaptive system (MRAS) based rotor position/speed estimation is employed as the basic control strategy for IPMSM drive. Furthermore, an identification method based on extended Kalman filter (EKF) for the permanent magnet flux of IPMSM is proposed. By using this method, the identification problems due to low-order state equations of IPMSM can be avoided. Based on these works, the on-line permanent magnet flux identification of IPMSM with speed senseless control is realized. Simulation and experimental results demonstrate the feasibility and effectiveness of the proposed control methods, which shows the estimation error of rotor position based on the identified permanent magnet flux is limited within a very low level.

Key words： Flux identification IPMSM EKF sensorless control

收稿日期: 2010-10-25 出版日期: 2014-03-07

PACS:

TM341

作者简介: 史宇超男, 1986年生, 博士研究生, 研究方向为电力电子与电力传动。孙凯男, 1977年生, 博士, 助理研究员, 研究方向为电力电子与电力传动。

引用本文:

史宇超, 孙凯, 马鸿雁, 黄立培. 内埋式永磁同步电机永磁磁链的在线辨识[J]. 电工技术学报, 2011, 26(9): 48-53. Shi Yuchao, Sun Kai, Ma Hongyan, Huang Lipei. On-Line Identification of Permanent Magnet Flux in IPMSM Drive. Transactions of China Electrotechnical Society, 2011, 26(9): 48-53.

链接本文:

http://dgjsxb.ces-transaction.com/CN/Y2011/V26/I9/48

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