Sensorless Control of PMSG Wind Turbine Using ANFIS

This paper deals with the control of permanent-magnet synchronous generator (PMSG) where the rotor position and speed estimation is essentially required to operate it on maximum power points. Here, Adaptive Neuro Fuzzy Inference System Technique (ANFIS) is used to estimate the speed and position of PMSG, where an ANFIS-system is continuously tuned with actual value of PMSG. The proposed system consists of a back-to-back converter, where PMSG side converter has MPPT output and another one is used for grid synchronization. The generator side ANFIS estimator is used to estimate the rotor position and speed accurately over a wide speed range. The purpose of grid side ANFIS estimator is to control and manage the inverter according to the load demand and storage of electricity in battery which is coupled with dc link of back to back converter respectively. The stored electricity in battery is fed back to grid when needed. The proposed system is designed in MATLAB/SIMULINK.