Optimization of fuzzy photovoltaic maximum power point tracking controller using chimp algorithm

<span>In this paper, a photovoltaic (PV) fuzzy maximum power point tracking (MPPT) method optimized by the chimp algorithm is presented. The logic controller (FLC) of seven triangular membership functions (MFs) used. optimization fitness function composed transient and steady-state indices under different irradiation temperature operating conditions. By using MATLAB package, performance examined compared with asymmetrical FLC well-known perturb observe (P&O) methods at conditions in terms of: rising time (tr) energy yield during 30 s. Moreover, are also <span>function value. From comparison simulation results, more can be</span> harvested proposed to <span>other methods. Consequently, various conditions, proposed</span> be used as reliable for PV systems.</span>