基于改进非线性跟踪微分器的永磁同步电机位置辨识算法

This article proposes a novel position identification algorithm for permanent magnet synchronous motors (PMSMs) operating at zero and low speed. Traditional high-frequency signal injection methods struggle with phase lag and poor interference rejection, limiting their effectiveness in steady and dynamic conditions. To overcome these challenges, an improved nonlinear tracking differentiator (TD) method for precise and rapid estimation of motor position and speed is presented. The proposed method reduces tracking delay by 35% and improves noise immunity by 30% compared to traditional methods. Advanced mathematical analysis and frequency sweep tests validate its effectiveness. Simulation and experimental results confirm enhanced performance in both steady and dynamic states, with the method effectively suppressing sixth-order harmonic interference from inverter nonlinearity, achieving an attenuation of -43 dB/dec.