Adaptive EKF Permanent Magnet Synchronous Motor Position Sensorless Vector Control Based on Variable Softsign Function

A variable Softsign function was designed to address the problem of poor estimation performance in the dynamic change process of ordinary EKF motors. The speed error was used as the independent variable to flexibly change the values of the Q and R matrices. Based on this function, an adaptive EKF algorithm was designed, and the adaptive EKF algorithm was used as the estimation algorithm for the motor vector control system. A new simulation model was constructed. Simulation and experimental results showed that the adaptive EKF algorithm designed in this paper has better estimation performance than the ordinary EKF algorithm in the dynamic change process of motors.