Fuzzy logic implementation for photovoltaic maximum power tracking

Fuzzy logic PI controller for PV water pumping system

“…In our case, five fuzzy levels are used: NB (negative big), NS (negative small), ZE (zero), PS (positive small), and PB (positive big) [6,7].…”

MPPT control design and performance improvements of a PV generator powered DC motor-pump system based on artificial neural networks

“…Because, we would like to compare the system in normal case with the system at maximum power condition, the I a and x are calculated using Eqs. (16) and (18) for certain values of V a , where D is kept constant in this case. Hence using Eqs.…”

“…Therefore, the tracking control of the maximum power point is a complicated problem. To overcome these problems, many tracking control strategies have been proposed such as perturb and observe [1,2], incremental conductance [3], parasitic capacitance [4], constant voltage [5], reactive power control [6], neural network [7][8][9][10][11][12] and fuzzy logic controller (FLC) [13][14][15][16][17][18][19]. Some applications need constant output voltage with suitable MPPT or constant output current [20,21].…”

Application of fuzzy logic on a PV water pumping system

“…(5) Short-circuit current: (6) The proposed modul consist of Ns = 36 of series connected cells. Where: R s is the series resistance modeling the ohmic losses of the material, R sh is the shunt resistor modeling the noise currents through the cell, k is Boltzmann's constant (k = 1,38.10 -23), q the electron charge (q = 1,602.10 -19 C), T the module temperature, T ref the reference temperature, G the irradiance (1G = 1000 W/m^2), V c the module operating voltage (V), b = Eg * q / (n * k), n the diode ideality factor, Eg the band gap energy, Voc the circuit voltage per cell, Isc the short circuit current per cell, and a the temperature coefficient of Isc.…”