Fractional Order Model Reference Adaptive Control With Chattering Elimination Algorithm For Wind Turbine Speed Control

This paper presents a new fractional order model reference adaptive control (FO-MRAC) design with a chattering elimination algorithm for controlling a simplified model of a wind turbine. The FO-MRAC algorithm is used to continuously update the controller parameters that allows the wind turbine output to track a reference model. The chattering elimination algorithm is applied to improve the performance of the FO-MRAC controller by reducing the chattering phenomenon that can occur when using adaptive controllers. The results show that the FO-MRAC with chattering elimination algorithm can effectively control the wind turbine model, reducing tracking errors and improving control performance. This paper demonstrates the potential of advanced control techniques for wind turbine control and provides insight into the use of FO-MRAC and chattering elimination algorithms for this application.