Type-2 Fuzzy Control of DFIG for Wind Energy Conversion Systems

This study develops and designs a Type 2 fuzzy controller technique for application inwind turbines directly linked to the grid and incorporating variable-speed doubly fed inductiongenerators (DFIG).Type 2 fuzzy theory is proposed with the aim of enhancing system performance. Unlike Type 1 fuzzysystems, it accommodates a wide range of uncertainties and dynamic nonlinearities that mayconstrain the system's operational efficiency.Type 2 fuzzy logic provides an effective approach to managing linguistic uncertainty by modelingthe ambiguity and limited reliability of information, thereby reducing the overall level of uncertaintywithin the system.Both Type 1 Fuzzy Logic Control (T1FLC) and Type 2 Fuzzy Logic Control (T2FLC)techniques were employed in direct and indirect modes. The two control methods weredeveloped, their performances were evaluated, and the most effective control method interms of reference tracking and robustness was identified. This comparative analysis isderived from a series of tests performed under identical conditions during bothtransient and steady-state operations of the system.The simulation results demonstrate that the proposed method exhibits significant resilience toparameter variations and unstructured uncertainties.