摘要
针对传统滑模观测器(SMO)在永磁同步电机(PMSM)无传感器控制系统中存在如较大抖振、转速与转子位置估计精度差等问题,提出一种改进超螺旋SMO的PMSM无传感器控制方法。首先,采用连续的T(s)函数取代不连续的符号函数,削弱了高频抖振;其次,针对超螺旋算法中采用固定的滑模增益导致系统仅在很窄的速度范围内性能好的问题,采用模糊控制算法对超螺旋滑模增益进行了自适应调控;然后,采用归一化正交锁相环(PLL)提取转速与转子位置信息,解决了低通滤波导致的相位延迟;最后,通过仿真并且搭建实验平台对所提方法进行了验证,结果表明,本文提出的改进方法有效地削弱了系统抖振,转子位置和转速估计精度均高于传统控制方法。
Aiming at the problems of traditional sliding mode observer(SMO)in sensorless control system of permanent magnet synchronous motor(PMSM),such as large buffeting,poor estimation accuracy of speed and rotor position,a sen⁃sorless control method of PMSM with improved super-twisting SMO is proposed.Firstly,continuous T(s)function is used to replace discontinuous symbol function,which weakens high-frequency buffeting.Secondly,in order to solve the problem that the system only performs well in a narrow speed range due to the fixed sliding mode gain in the supertwisting algorithm,the fuzzy control algorithm is used to adjust the super-twisting sliding mode gain adaptively.Then,the normalized orthogonal phase-locked loop(PLL)is used to extract the rotational speed and rotor position information to solve the phase delay caused by low-pass filtering.Finally,the proposed method is verified by simulation and experimen⁃tal platform.The results show that the proposed improved method effectively weakens the system buffeting,and the accu⁃racy of rotor position and speed estimation is higher than that of the traditional control method.
作者
邢晓柯
迟耀丹
林广彬
杨浩远
Xing Xiaoke;Chi Yaodan;Lin Guangbin;Yang Haoyuan(School of Electrical Engineering and Computer Science,Jilin Jianzhu University,Changchun 130118,China)
出处
《电力电子技术》
2025年第6期15-22,共8页
Power Electronics
基金
吉林省科技发展计划(20230203139SF)。
关键词
永磁同步电机
超螺旋滑模观测器
模糊控制
permanent magnet synchronous motor
super-twisting sliding mode observer
fuzzy control
