A Tracking Method of Load Current Based on Finite Set Model Predictive Control for Motor Simulator

Abstract

A tracking method of load current for motor simulator based on finite set model predictive control (FSMPC) is presented. First, the dynamic mathematical model of asynchronous motor is established to obtain reference current of motor simulator. Second, the prediction model of load current of motor simulator is constructed to calculate predicted load current for each switch state in each sampling period. Finally, the evaluation function is constructed according to reference current and predicted load current of motor simulator, the switch states corresponding to the minimum evaluation function is selected as switch state of switch matrix at the next time. The experimental results of hardware-in-loop show that motor simulator based on FSMPC can track the motor stator current more accurately and quickly compared with the motor simulator based on PI control.