Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine

Abstract

This paper presents the application of an adaptive neuro-fuzzy controller (ANFC) for speed control of the switched reluctance generator (SRG). In this study, the SRG is driven by a variable-speed wind turbine and connected to the grid through an asymmetric half bridge inverter, DC-link, and DC-AC inverter system. Speed control plays an important role in variable-speed operation of the SRG to ensure maximum power delivery to the grid for any particular wind speed. The effectiveness of the proposed ANFC is compared with that of the conventional proportional-Integral (PI) controller. Detailed modeling and control strategies of the overall system are also presented. The validity of the proposed system is verified by the simulation results using the real wind speed data measured at Hokkaido Island, Japan. The dynamic simulation study is performed using the laboratory standard power system simulator PSCAD/EMTDC.