Multi-stage model predictive current control with parameters-free for PMSM drives

Abstract:
At present, although the traditional model predictive control (MPC) has the advantages of flexible control and good dynamic performance, the control effect becomes worse when the parameters become inaccurate, because the model predictive control algorithm needs to use the parameters of the motor. To weaken the parameter sensitivity of the system, a multi-stage model predictive current control with parameters-free for PMSM drives is proposed based on the traditional model predictive current control. In this strategy, the strategy only uses the current variation to get the inductance parameters by integration, and then replaces the inductance parameters into the prediction model. This method not only does not require motor parameters, but also obtains the ideal switching frequency. Many experiments have proved that this method is effective.