Parameter Varying Model Predictive Control based on T-S Fuzzy Model Using QP Approach: A Case Study

摘要

In this paper, design of parameter varying model predictive control based on T-S fuzzy model using quadratic programming (QP) approach is presented. In this approach, minimizing of the cost function is converted to a QP problem where the complexity of the computation is decreased. This reduction in complexity causes the improvement in performance of the controller. To show the effectiveness of the proposed strategy, the proposed method is applied to the electric vehicle to control its speed and then the procedure is compared with the past methods. The simulation results illustrate the effectiveness of the proposed method in comparison with the past works.