T-S fuzzy maximum power point tracking control of photovoltaic conversion system

This paper propose a Takagi-Sugeno (T-S) fuzzy based reference model to deal with Maximum Power Point Tracking (MPPT) problem applied to a photovoltaic (PV) system. An MPP searching algorithm is used in the global MPPT structure to generate the optimal output boost voltage. It provides a good MPP tracking performance in the case of rapidly changing climatic conditions, and it reaches the maximum power point in less time with no oscillations in steady-state. The fuzzy controller is introduced in the global scheme in order to force the PV system to converge to the reference trajectory. the stability analysis and control design problems can be reduced to linear matrix inequality (LMI) problems. Simulation results are provided to illustrate the developed fuzzy controller in this paper.