Incremental Model Predictive Current Control for PMSM With Online Compensation for Parameter Mismatch

The parameter mismatches affect the control performance of the model predictive current control. Aim at this problem, an incremental model predictive current control for permanent magnet synchronous motor with online compensation for parameter mismatches is proposed. Firstly, the incremental current prediction model is constructed to eliminate the rotor flux linkage. Secondly, the relationship between the incremental current prediction error and parameter mismatches are analyzed. Moreover, it is found that the resistance mismatch has almost no effect on the incremental prediction error. Ignoring the influence of resistance, the
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-axis incremental current errors and the incremental voltages are approximately linearly related, and the linear relationship is only determined by the inductance mismatch. Thirdly, the forgetting factor recursive least square method is used to identify the linear relationship. The parameter mismatches are compensated for the whole control system online. Using the idea of incremental current deadbeat, the incremental reference current is converted into the reference voltage vector. A single vector control strategy is used to compare the computational burden of switching quantity selection with the enumeration method and sectors judgment method. Finally, the proposed strategy is verified by simulation and experiment.