Robust Model Predictive Current Control of Permanent Magnet Synchronous Motor Based on Local Model Observer

Model predictive current control strategy(MPCC) has excellent dynamic performance and outstanding practical significance, so it has been widely concerned. One of the main defects of MPCC is that it relies heavily on model accuracy and has poor parameter robustness. In order to overcome this problem, a robust model predictive current control of permanent magnet synchronous motor based on the local model observer is proposed. The local model variables are obtained by sliding mode observer, and then the current in the next control cycle is predicted by the local model. The prediction model is only affected by inductance mismatch. Therefore, inductance information is extracted from local variables to further eliminate the sensitivity to stator inductance. Simulation results show that the proposed method has good parameter robustness.