Sensorless Control of Permanent Magnet Synchronous Motor Based on Improved Model Reference Adaptive System

In order to improve the accuracy of rotor position estimation and speed tracking in sensorless vector control system of permanent magnet synchronous motor(PMSM), an adaptive full-order observer is proposed based on model reference adaptive system(MRAS) method. This method combines the estimation equation and the calibration link to form the closedloop estimation by introducing the correction term. The sliding mode controller(SMC) is used to control the rotation speed loop instead of the traditional PI controller to improve the anti-disturbance ability of the system. The simulation results show that the improved model reference adaptive system method can better estimate the rotation speed and rotor position in the case of motor startup, sudden change of speed and sudden change of the load torque. The method has good stability and robustness.