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基于滑模观测器的永磁同步电机自整定调速系统
引用本文:谢振球,谭 兮,张 阳,何宗卿,吴洪涛,朱 亮,包伟栋.基于滑模观测器的永磁同步电机自整定调速系统[J].湖南工业大学学报,2019,33(5):25-31.
作者姓名:谢振球  谭 兮  张 阳  何宗卿  吴洪涛  朱 亮  包伟栋
作者单位:湖南工业大学 电气与信息工程学院,湖南工业大学 电气与信息工程学院,湖南工业大学 电气与信息工程学院,湖南工业大学 电气与信息工程学院,湖南工业大学 电气与信息工程学院,湖南工业大学 电气与信息工程学院,湖南工业大学 电气与信息工程学院
基金项目:湖南省教育厅基金资助项目(18C0510),株洲市科技计划基金资助项目(株科发[2017]68号)
摘    要:针对传统滑模观测器在永磁同步电机(permanent magnet synchronous motor,PMSM)动态变速与动态加载时调速系统超调过大,并且在估算反电动势中产生较大抖动问题,提出一种基于滑模观测器的永磁同步电机自整定调速方法。首先,采用Sigmoid函数代替常数切换函数,通过滑模观测器估计反电动势;然后,通过锁相环进行位置检测,从估计的反电动势中提取转子位置和速度信号;最后,经过速度观测值与给定值的比较,通过模糊PI实现参数自整定。仿真结果表明,与传统的滑模观测器方法相比,所提方法能够很好地消除抖动,其跟踪性、鲁棒性较大提高。

关 键 词:永磁同步电机  滑模观测器  锁相环  模糊PI  自整定
收稿时间:2019/4/28 0:00:00

A Self-Tuning Speed Control System of PMSM Based on the Sliding Mode Observer
XIE Zhenqiu,TAN Xi,ZHANG Yang,HE Zongqing,WU Hongtao,ZHU Liang and BAO Weidong.A Self-Tuning Speed Control System of PMSM Based on the Sliding Mode Observer[J].Journal of Hnnnan University of Technology,2019,33(5):25-31.
Authors:XIE Zhenqiu  TAN Xi  ZHANG Yang  HE Zongqing  WU Hongtao  ZHU Liang and BAO Weidong
Abstract:In view of the overshoot of speed control system in excessive dynamic speed change and dynamic loading in the traditional sliding mode observer in permanent magnet synchronous motor (PMSM), as well as a large jitter generated in the estimation of counter electromotive force, a proposal has thus been made of a self-tuning speed control method of permanent magnet synchronous motor based on the sliding mode observer. Firstly, the Sigmoid function is used to replace the constant switching function, with the inverse EMF estimated by the sliding mode observer. Then, the rotor position and velocity signals are to be extracted from the estimated counter electromotive force by using the phase-locked loop. Finally, a comparison is to be made between the observed velocity value and the given value, thus realizing the parameter self-tuning by fuzzy PI. The simulation results show that, compared with traditional sliding mode observer method, this method helps to eliminate the jitter, thus greatly improving its tracking and robustness.
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