The model predictive thrust control (MPTC) is recognized as an effective approach for a linear induction machine. The flexibility of MPTC can achieve more control targets. However, the weighting factors in the multiple control objectives need to be tuned. It greatly increases the complexity of controller design. Based on 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. At last, the performance of the proposed method has been verified by simulation results.

Linear induction machine (LIM)， model predictive control (MPC)， weighting factors， robust control，