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作 者:余莉[1,2] 李伯涵 曹永娟[1,2] YU Li;LI Bohan;CAO Yongjuan(School of Automation,Nanjing University of Information Science and Technology,Nanjing 210044,China;Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET),Nanjing University of Information Science and Technology,Nanjing 210044,China)
机构地区:[1]南京信息工程大学自动化学院,江苏南京210044 [2]南京信息工程大学江苏省大气环境与装备技术协同创新中心,江苏南京210044
出 处:《电机与控制应用》2020年第2期14-20,共7页Electric machines & control application
基 金:国家自然科学基金项目(51507082)。
摘 要:针对永磁同步电机(PMSM)无传感器控制系统中存在滑模高频抖动,转子位置估算误差较大等问题,在传统滑模观测器(SMO)的基础上,提出了一种改进自适应滑模观测器(ASMO),并使用Lyapunov定理证明了该观测器的稳定性。通过采用分段指数函数代替传统开关函数,结合锁相环(PLL)技术从反电动势中提取转子位置和转速信号,可以有效抑制抖振,减小观测误差。MATLAB仿真结果表明:与传统SMO相比,改进后的ASMO受转速变化影响较小,具有更高的精度和良好的动态性能。Aiming at the problems of high frequency chattering of sliding mode and large estimation error of rotor position in sensorless control system of permanent magnet synchronous motor(PMSM),an improved adaptive sliding mode observer(ASMO)is proposed based on the traditional sliding mode observer(SMO).The stability of the observer is proved by Lyapunov theorem.By using the piecewise exponential function instead of the traditional switch function and combining it with phase-locked loop(PLL)technology to extract the rotor position and speed signals from the back electromotive force(EMF),the chattering can be effectively suppressed and the observation error can be reduced.The simulation results of MATLAB show that the improved observer has higher accuracy and better dynamic performance than the traditional SMO.
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