Reference Model Adaptive Control Scheme on PMVG-Based WECS for MPPT under a Real Wind Speed

Over the last few years, improving power extraction from wind energy conversion system (WECS) under varying speeds has become a complex task. The current study presents optimum maximum point tracking (MPPT) control approach integrated with neural network (NN)-based rotor speed and pitch angle to extract WECS. So, this reference model adaptive (RMAC) for direct-drive (DD) permanent magnet vernier generator (PMVG)-based WECS real conditions. Initially, RMAC-based is presented terms, which tracks that guarantees expected exponential decay of error trajectory. Then, reduce measurement errors, recurrent (RNN)-based training presented. Moreover, asymptotic stability proposed method mathematically proven by Lyapunov theory. In addition, efficiently operate within allowable operating range. Eventually, demonstrates its effectiveness through simulation experimentation using prototype 5 kW DD PMVG-based After that, comparative results affirm superiority over existing methods.