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基于DOB死区补偿下EKF的PMSLM无传感器控制 被引量:1

PMSLM Sensorless Control Based on EKF Under the Dead Time Compensation of the DOB
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摘要 针对死区效应会导致扩展卡尔曼滤波(EKF)算法对永磁同步直线电机(PMSLM)速度和动子位置不能实现高精度辨识的问题,提出了一种基于扰动观测器(DOB)死区补偿下EKF的PMSLM无传感器控制策略。首先,分析了死区效应;其次,考虑到机械响应速度远小于电气响应速度,设计了一种无需检测电流极性且可以在线实时对死区效应进行补偿的DOB;最后,建立了基于该策略的无传感器控制系统。仿真结果表明,该方法能够有效抑制死区效应给EKF算法带来的不利影响,且可以准确估计速度和动子位置,从而满足高性能的PMSLM控制要求。 Aiming at the problem that the extended kalman filter(EKF)algorithm could not achieve high precision identification of the permanent magnet synchronous linear motor(PMSLM)speed and mover position due to dead time effect,a sensorless control strategy of PMSLM based on EKF under the dead time compensation of the Disturbance Observer(DOB)is proposed.First,the dead time effect is analyzed.secondly,considering that the mechanical response speed is much slower than the electrical response speed,a method that does not need to detect the current polarity and can compensate for the dead time effect in real time is designed Disturbance observer.Finally,a sensorless control system based on this strategy is established.The simulation results show that the method can effectively suppress the negative impact of the dead time effect on the EKF algorithm,and can accurately estimate the speed and mover position,so as to meet the high-performance PMSLM control requirements.
作者 林健 张树龙 周磊 查雨欣 孙冀婷 LIN Jian;ZHANG Shu-long;ZHOU Lei;ZHA Yu-xin;SUN Ji-ting(Key Laboratory of Advanced Numerical Control Technology of Jiangsu Province,Nanjing Institute of Technology,Nanjing 211167,China)
出处 《组合机床与自动化加工技术》 北大核心 2022年第7期57-61,共5页 Modular Machine Tool & Automatic Manufacturing Technique
基金 国家自然科学基金面上项目(61873120) 江苏省高等学校自然科学研究重大项目(20KJA460010) 南京工程学院校级基金创新基金面上项目(CKJB201702) 江苏省研究生实践创新计划项目(SJCX22-1088)。
关键词 逆变器 死区效应 扩展卡尔曼滤波算法 死区补偿 干扰观测器 直线电机 inverter dead time effect extended Kalman filter algorithm dead time compensation disturbance observer linear motor
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