Optimization on Weighting Factors of Model Predictive Control Based on Fuzzy Technique for Linear Induction Machine

Compared with direct thrust control and vector control methods, the model predictive control (MPC) is recognized as a more effective approach. However, the weighting factors in the objective function must be tuned, which greatly increases the computation burden. In this work, based on the fuzzy technique, one weighting factor optimization method is proposed to identify the suitable control action for the linear induction machine (LIM), which can effectively simplify the selection process. At last, comprehensive simulation results have demonstrated the excellent performance of the proposed method.