Artificial intelligence-based controller for rotor current of doubly fed induction generator in wind turbine system

Abstract

The demand for energy is increasing that can be met with Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion System (WECS). In this paper, A 2 MW DFIG was used as the plant. To limit the shortcomings of a Proportional-Integral (PI) controller, Fuzzy Logic (FL), Fuzzy-PI, and Artificial Neuro-Fuzzy Inference System (ANFIS) controllers are being designed. The system is modeled in a MATLAB/Simulink. A comparative analysis of PI, Fuzzy, Fuzzy-PI, and ANFIS are presented. Taking a steady state error (SSE) as an objective function of performance index, the PI controller results with a 2.9084 A, Fuzzy with 0.8668 A, Fuzzy-PI with 7.654 A, and ANFIS, with 11.5472 A. Hence, the Fuzzy logic controller-based system is found to be the best candidate for SSE control of rotor current. An ANFIS-based controller has the best settling time for rotor currents control, whereas the Fuzzy-PI found to be best for SSE and torque control.