Dual Motor Model Prediction Control with Senseless Control and Parameter Identification Function

Abstract A new control strategy is proposed to address the issues of poor stability and inability achieve torque synchronization in dual-drive systems. Firstly, structure permanent magnet assisted synchronous reluctance motor described, principles model prediction dual-torque control, Beetle Antennae Search algorithm, Kalman filter algorithm are analyzed. The used as main motor, a senseless module parameter identification for established on this basis, creating dual with above functions. Finally, through simulation, rationality accuracy verified. results show that can balance two motors accurate identification.