Sensorless Control of Permanent Magnet Synchronous Motor Based on the fifth-order Cubature Kalman Filter

The rotor position signal is the key parameter to control the permanent magnet synchronous motor (PMSM). In order to solve the problems caused by using the position sensor of the PMSM traditional control, such as the high cost, large volume, low reliability and susceptibility to environment disturbance and so on, a estimation method of motor speed and rotor position based on fifth-order Cubature Kalman filter (fifth-order CKF) is proposed for sensorless control of PMSM. Firstly, the discrete mathematical model of permanent magnet synchronous motor in α-β coordinate system is established, the fifth order cubature criterion is introduced, and the fifth-order CKF algorithm is derived. Then the model of sensorless vector control system with double closed loop of speed and current is built by using the fifth-order CKF algorithm. The Matlab/simulink simulation is carried out. The simulation results show that the fifth-order CKF algorithm has high estimation accuracy, steady running and good robustness, which can meet the needs of actual motor control performance.