Filter design of permanent magnet synchronous motor without speed sensor

At present, the speed sensor is always needed in the running process of the motor to measure the speed in real time, but the use of traditional sensors will bring mechanical equipment tedious, increasing the maintenance difficulty and affecting the system stability and other problems. In view of the above shortcomings, this paper designs an algorithm based on extended Kalman filter (EKF), which is suitable for complex nonlinear systems. By using the estimation method to obtain the motor speed and rotor position, this method not only reduces the motor equipment but also saves the cost. Simulation results show that this filter can estimate the motor speed effectively and accurately.