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This paper deals with Takagi-Sugeno fuzzy logic applied to an autonomous photovoltaic system for power maximization. It includes a DC-DC buck converter state model connected between the PV panel and the load in order to maximize the output power. The TS fuzzy MPPT controller is compared to the classical P&O and fuzzy Mandani algorithms. Results show that: thanks to its capacity to transform the...
This paper concentrates on the development of robust maximum power control for variable speed wind turbines with a double feed induction generator in the presence of wind disturbance and parameter uncertainties. To increment the actual manner for the wind turbine system, the effects of the mechanical and electrical part are taken in consideration. The algorithm is based on Takagi-Sugeno fuzzy model...
This paper presents the control of a Photovoltaic (PV) using a fuzzy model approach. A fuzzy controller will be designed based on a Takagi-Sugeno (TS) fuzzy plant model of the PV. This proposed controller is capable of driving the system states of the PV to follow those of a stable reference fuzzy model with the stability of the closed-loop system guaranteed‥ The simulation results through Matlab/Simulink...
A robust control algorithm for wind turbines subjected to a wide range of wind variation, grid disturbance and parameter uncertainties is presented. The algorithm utilizes fuzzy systems based on “Takagi-Sugeno” (TS) fuzzy models to approximate nonlinear systems. TS fuzzy systems are classified into three families based on the input matrices and a robust controller synthesis procedure is given for...
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