Enhancement of Finite Set Model Predictive Control for Direct Matrix Converter fed DFIG-Wind Energy Conversion System

This paper deals with the study of finite set model predictive current control (FS-MPC) for doubly fed induction generator (DFIG) derived by direct matrix converter (DMC). The FS-MPC has proven it effectiveness in many power applications. This control technique possess a small steady state error in different operating conditions, a high sensitivity and fast dynamic response, and it can be applied in both linear and nonlinear systems. In the other hand, the frailty of this method consists of parameter mismatches which affect mathematical model. To overcome this problem, we propose to add past errors of rotor current to the cost function and adjust the weighting factors of the cost function with fuzzy decision making approach (FDM). The MATLAB/Simulink tool is used to evaluate the performance of this system in various scenarios.