Predictive Thrust Control without Optimal Weighting Factor Based on Robust Primary Flux Constraint for Linear Induction Machine

The model predictive thrust control (MPTC) is recognized as an effective approach for a linear induction machine (LIM). The flexibility of MPTC can achieve more control targets. However, the weighting factors in the multiple control objectives need to be tuned. It can greatly increase the complexity of controller design. Based on the robust primary flux constraint and fuzzy probability, a novel predictive thrust control without optimal weighting factor is proposed in this paper. As a result, weighting factor selection is avoided, which can reduce computation time, and increase dynamic response. At last, the performance of the proposed method has been verified by comprehensive simulation results.