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作 者:叶帅辰 姚晓先[1] YE Shuai-chen;YAO Xiao-xian(Beijing Institute of Technology,Beijing 100081,China)
机构地区:[1]北京理工大学
出 处:《微特电机》2019年第11期56-59,64,共5页Small & Special Electrical Machines
摘 要:为提高永磁同步电动机(PMSM)无传感器控制系统中电机转子位置及速度的估计精度,研究了一种带有串联低通滤波器(CLPF)及补偿环节的改进型滑模观测器(SMO)。建立了PMSM在静止坐标系下的动力学方程,介绍了传统的SMO,分析了反电动势估计值中高次谐波分量形成原因及其对估计结果的影响。为彻底滤除高次谐波分量,引入了串联LPF及其补偿环节。建立了基于改进型SMO的PMSM无传感器控制系统,并搭建了实验平台。实验结果表明,改进的滑模观测器可以有效滤除反电动势估计信号中的高次谐波分量,并提高转子位置及速度的估计精度。To improve the rotor speed and position estimation accuracy in a PMSM sensorless control system,an improved SMO with the cascade low-pass filter( CLPF) and the compensation module was studied. Dynamic equations of a PMSM in the stationary reference frame were established,and the conventional SMO was introduced. The cause of high-order harmonic components in the back-EMF and the influence on the speed and position estimate were analyzed. To solve this high-order harmonic problem,a CLPF module and a compensation module were introduced and integrated into the SMO. PMSM sensorless control system based on the improved SMO was constructed,and the experimental platform was built. Experimental results show that the improved SMO can effectively filter the high-order harmonic components and improve the estimation accuracy of rotor position and speed.
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