Deadbeat Control of Permanent Magnet Synchronous Motor Based on MRAS Parameter Identification

The deadbeat control is an effective way to promote the drive performance of permanent magnet synchronous machine (PMSM). However, the problems of time-varying electromagnetic parameters seriously affected the control accuracy of the model-based deadbeat controller. Therefore, an improved deadbeat current control method is proposed in this paper. In this method, we identify the motor parameters online through the model reference adaptive system (MRAS) and use the recognition results to modify the stator inductance and flux linkage of the deadbeat current control model. Simulation and experimental results demonstrate that the improved deadbeat control method has strongly robust to the variations of parameters, and it is testified to have better speed and current tracking performance.