Artificial Intelligence Integrated Fractional Order Control of Doubly Fed Induction Generator-Based Wind Energy System

This paper proposes an artificial intelligence integrated (AI) fractional order robust control for a DFIG based wind energy conversion system. To reduce the chattering phenomena in excitation signal, fuzzy system is employed adaptive adjustment of discontinuous gain while preserving robustness closed-loop The stability closed loop with (FFORC) ensured using Lyapunov proposed FFORC scheme tested processor (PIL) experiment.MATLAB/Simulink environment used to emulate and Texas Instrument (TI) DSP320F37D interfacing emulated model Simulink environment. System performance under compared classical sliding mode control(SMC).The experimental results justifies superiority all test conditions.Under ideal condition scheme, speed tracking error approximately zero SMC method peak 0.4 radian/s. Similarly active reactive powers smooth system, power oscillates on both sides reference it reaches 0.01 kVAR positive side -0.01kVAR negative plot.Under parameters variation, offers minimum steady state which about radian/s, case saturation function value 0.6 radian/s recorded. In sgn function, around 0.1 radian/s.Moreover exhibits chattering.