Maximum power control of wind energy conversation systems via a T-S fuzzy model-based approach

Abstract

This paper proposes a T-S fuzzy model based maximum power control to enhance the efficiency of the wind power generation systems. To draw the maximum wind energy, a buck converter is applied to adjust the recified output voltage of the permanent-magnet synchronous generator. Based on the T-S fuzzy representation of the system, the fuzzy maximum power point tracking (MPPT) controller is developed to maintain the maximum power voltage. The MPPT control guarantees asymptotic convergence, while control gains can be systematically designed by solving linear matrix inequality (LMI). Furthermore, the robust MPPT is also discussed to cope with varying wind speed and system uncertainty. Satisfactory performance is shown from the numerical simulations.