Optimal Intelligent Control for Doubly Fed Induction Generators

For the first time, a novel concept of merging computational intelligence (the type-2 fuzzy system) and control theory (optimal control) for regulator reference tracking in doubly fed induction generators (DFIGs) is proposed this study. The goal system torque stator reactive power. In case, controller activated to enhance performance optimum control. instance, abrupt changes signal or uncertainty parameters, performs complementary function. Both parametric perturbation are used challenge simulation. findings demonstrate that presence as an additional compensator significantly enhances system. root mean square error suggested method’s threshold was 0.012, quite acceptable