Fuzzy maximum power control of PV system

This paper addresses the Fuzzy Control (FC) problem for nonlinear systems. The Takagi-Sugeno (TS) fuzzy model is adopted for fuzzy modeling of the nonlinear system and establishing fuzzy state observers. The concept of Parallel Design Compensation (PDC) is employed to design FC from the TS fuzzy models. The sufficient conditions are formulated in the format of Linear Matrix Inequalities (LMIs). The effectiveness of the proposed controller design methodology is finally demonstrated through a photovoltaic panel array to maximize the PV power. In detail, we consider a dc/dc buck converter to regulate the output power of the photovoltaic panel array. Therefore, the proposed method provides an easier implementation form under strict stability analysis. Finally, the control performance is shown from the numerical simulation results.