Luenberger Prediction Model-Based Robust Predictive Current Control of Induction Machine Drives

For model predictive current control of induction machine drives, the mismatched parameters of induction motors inevitably lead to model prediction errors, reduce dynamic and steady-state performances, and even cause the system instability. In view of this problem, this paper proposed a Luenberger prediction model-based robust predictive current control (LPM-PCC), where stator current is predicted by a closed-loop prediction mode. In addition, the stator current prediction errors are analyzed for the tradition predictive current control (T-PCC) and the proposed LPM-PCC. The experimental results verify the effectiveness of the proposed LPM-PCC.