The Adaptability Analysis of Sensorless Control System of Based on Modified Unscented Kalman Filter
陈静 CHEN Jing；李鑫 LI Xin
（南京理工大学紫金学院，南京 210023）
（Nanjing University of Science and Technology ZiJin College，Nanjing 210023，China）
摘要： 本文研究分析了无迹卡尔曼滤波（UKF）在无传感器控制系统中应用的适应性情况。在MATLAB/Simulink仿真环境中建立了基于UKF的永磁同步电机控制模型，针对UKF在仿真过程中可能出现估算错误的情况进行分析并设计了修正方案。通过改变电机参数分析UKF应用的鲁棒性，并研究不同的转子磁极初始角位置对系统启动能力的影响，针对启动困难的情况提出了相应的优化方案。
Abstract: This paper studies and analyzes the adaptability of Unscented Kalman filter (UKF) in sensorless control system. The control model of permanent magnet synchronous motor based on UKF is established in Matlab/Simulink simulation environment. Aiming at the possible estimation error of UKF in the simulation process, the correction scheme is analyzed and designed. The robustness of UKF application is analyzed by changing the motor parameters, and the influence of different initial angle positions of rotor magnetic poles on the starting ability of the system is studied. The corresponding optimization scheme is proposed for the difficult starting situation.
关键词： 无迹卡尔曼滤波；永磁同步电机；转子转速；控制系统
Key words: unscented Kalman filter；permanent magnet synchronous motor；rotor speed；control system
中图分类号：TM301.2 文献标识码：A 文章编号：1006-4311（2022）19-130-08
DOI:10.3969/j.issn.1006-4311.2022.19.042.
文章出处：陈静,李鑫. 无迹卡尔曼滤波在无传感器控制系统中的适应性分析[J]. 价值工程,2022,41(19):130-137.
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