Title :
Fuzzy logic implementation for photovoltaic maximum power tracking
Author :
Mahmoud, A.M.A. ; Mashaly, H.M. ; Kandil, S.A. ; Khashab, H. EL ; Nashed, M.N.F.
Author_Institution :
Fac. of Eng., Ain Shams Univ., Cairo, Egypt
Abstract :
The paper presents a simulation study and an experimental implementation of a fuzzy logic controller (FLC) for Cuk converter in a stand alone photovoltaic (PV) energy scheme. DC-DC converters are used to convert the unregulated DC input into a regulated DC output at a desired voltage level. A FL algorithm is selected and used to control the PV nonlinear system. The control objective for Cuk converter is to move the operating point of the PV system to its peak power point. A system that consists of a PV generator, converter, AC PWM inverter and load models is simulated, analyzed, and experimentally implemented. The simulated system with FLC is investigated at different solar insolation levels. The fixed structure FLC shows a robust performance when applied on a wide operating range of the proposed converter and AC PWM inverter
Keywords :
DC-DC power convertors; PWM invertors; fuzzy control; nonlinear systems; photovoltaic power systems; tracking; voltage control; AC PWM inverter; Cuk converter; DC-DC converters; fuzzy control; nonlinear system; photovoltaic power tracking; solar insolation levels; voltage control; AC generators; Control systems; DC-DC power converters; Fuzzy logic; Nonlinear control systems; Nonlinear systems; Photovoltaic systems; Pulse width modulation inverters; Solar power generation; Voltage;
Conference_Titel :
Robot and Human Interactive Communication, 2000. RO-MAN 2000. Proceedings. 9th IEEE International Workshop on
Conference_Location :
Osaka
Print_ISBN :
0-7803-6273-X
DOI :
10.1109/ROMAN.2000.892487
