基于改进SMO的无传感器IPMSM转子位置估计

为了优化传统滑模观测器(sliding mode observer,SMO)的高频抖振、响应时间长、估算误差大等问题,提出一种改进SMO.将传统SMO中的符号函数替换为新型分段指数函数来减少系统的高频抖振,舍弃误差较大的反正切算法,使用锁相环估算出IPMSM的转速和转子位置信息.使用Lyapunov稳定判据证明了改进S...

Rotor position estimation of sensorless ipmsm based on improved SMO

In order to optimize the problems of high-frequency chattering, long response time, and large estimation errors of traditionalsliding mode observers (SMO), this paper proposes an improved SMO. The sign function in the traditional SMO is replaced with a newpiecewise exponential function to reduce the high-frequency chattering of the system, the arctangent algorithm with large errors isdiscarded, and the phase-locked loop is used to estimate the IPMSM speed and rotor position information. The Lyapunov stabilitycriterion was used to prove the stability of the improved SMO, and the improved SMO sensorless control strategy model based on theinterior permanent magnet synchronous motor was built through Matlab / Simulink, and simulation analysis was performed. The simulationresults show that compared with the traditional SMO, the rotor position estimation error of the improved SMO is optimized from 0. 05 to0. 025 rad, the system speed estimation response time is reduced by 50%, and the speed estimation error is reduced by 85%. It isproved that the improved SMO has higher dynamic performance and estimation accuracy.