MPPT Based PMSG Wind Turbine System Using Sliding Model Control (SMC) and Artificial Neural Network (ANN) Based Regression Analysis

In view of the recent development and phenomenal growth in the field of electrical/power engineering, various new enhanced and sophisticated power control techniques have emerged which have got the enormous capabilities to produce the desired power in the most efficient and effective manner. This paper presents the permanent magnet synchronous generator (PMSG) connected to the wind turbine to extract the maximum power using the integral sliding mode control technique and artificial neural network (ANN). The real power produced by the generator is directly dependent on the internal characteristic of the wind turbine like TSR (tip speed ratio), Power Coefficient, etc. To extract the maximum power from the wind turbine, it has been depicted that ANN a is more efficient and reliable form than the sliding mode control technique.