Intelligent power control of wind conversion system based on Takagi–Sugeno fuzzy model

Summary This paper comes up with a novel fuzzy control design for a wind conversion system (WCS). To do this, a boost converter is employed to adjust the rectified voltage under different wind speed levels. Initially, the boost converter model is well presented via the Takagi–Sugeno approach. Then, a T‐S fuzzy controller is designed to promptly calculate the duty cycle required for an optimal power operation. Afterward, the optimal DC current is determined and then transferred to the reference model to instantly determine the desired trajectories. These latter should be preserved so as to reach the maximum power. Following that, linear matrix inequalities (LMIs) are also used to guarantee the stability analyses and the H∞ performance. Finally, the sound performance and the validity of the suggested control schema are both proved by a numerical and some experimental results. This paper comes up with a new fuzzy maximum power point tracking (MPPT) control for a wind energy conversion system. The main objective of this work is to guarantee a soft pursuit to the MPP under a variable wind speed profile.