APPLICATION OF FUZZY LOGIC AND A QUASI-SLIDING MODE FOR A DOUBLY FED INDUCTION GENERATOR

Abstract

This study proposes to combine fuzzy logic control with sliding mode control-based Quasi sliding mode (SMC-FL-Q) to independently control the power of a doubly fed induction generator (DFIG). This type of electric machine is highly efficient and is often used in wind turbines. Fuzzy control is the inspection, development and testing of systems based on fuzzy rules. Sliding mode control is a controller with a variable structure based on intermittent control signals that forces the system's state trajectory to approach the sliding surface. The proposed controller is designed to ensure that the actual powers of the DFIG follow the desired powers in a finite time and reduces the chattering phenomenon around the sliding surface. Lyapunov theory is used to check the stability of the system. Simulation results of the SMC-FL-Q controller applied to the DFIG system were compared to the adaptive fuzzy PI and Recurrent Type-II Fuzzy Neural Networks. The comparison results showed that the proposed controller was more effective without the overshoot, the steady-state converges to 0, the rising time, the settling time of the active and reactive power is 0.0021(s), 0.0031(s) and 0.0016(s), 0.0029(s), respectively.