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

The model predictive thrust control (MPTC) is emerging as a promising control technique for the linear induction machine (LIM) drive applications. However, the weighting factor is designed based on empirical procedures that are tedious and time consuming. In this work, a novel fuzzy weighting factor optimization method for LIM is developed to identify the suitable control action. Different from conventional fuzzy methods, the tuning process of weighting factors is regarded as a fuzzy chance constraint so as to constitute a new optimal problem without weighting factors. Hence, the optimal model can be solved by probability optimization algorithm and the corresponding equivalence class is also conducted. At last, simulation results are presented to validate the feasibility and effectiveness of this method.