Abstract: We proposed an improved square root unscented Kalman filtering (SRUKF) algorithm to reduce motor speed error in the presence of interference. The interference was added to affect  the motor operation in simulation experiments, we used information such as d-q axis current, electrical angular velocity, and rotor position of the motor to predict the motor speed value, and used improved algorithms to control the speed to reduce the error caused by interference on the motor speed. Compared it with the traditional unscented Kalman filtering algorithm. The results show that the algorithm has less system operation, and the error of the interfered motor speed controlled by the algorithm is smaller compared to the true value without interference, and it has better robustness.

Key words:  , permanent magnet synchronous motor, square root unscented Kalman filtering, speed control, anti-interference