2025 lEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE 2025)

In order to solve the problem that the control performance of model predictive current control (MPCC) depends on the accuracy of model parameters, this paper proposes an enhanced robustness MPCC strategy. By introducing lumped disturbance terms and current differential terms into the cost function, the robustness of MPCC to inductance, flux linkage and resistance mismatch is improved. In addition, a novel Kalman filter is designed to mitigate the effects of load torque disturbance and sensor measurement noise. Simulation results confirm the effectiveness of the proposed strategy.

parameter mismatch,cost function,Kalman filter,Model predictive current control (MPCC)