Open AccessMPPT using novel FLC based MPO for photovoltaic system
Author(s) -
R. Arulmurugan
Publication year - 2019
Publication title -
international journal of robotics and automation (ijra)/iaes international journal of robotics and automation
Language(s) - English
Resource type - Journals
eISSN - 2722-2586
pISSN - 2089-4856
DOI - 10.11591/ijra.v8i1.pp26-35
Subject(s) - photovoltaic system , hill climbing , maximum power point tracking , control theory (sociology) , controller (irrigation) , matlab , maximum power principle , computer science , power (physics) , fuzzy logic , engineering , artificial intelligence , control (management) , physics , electrical engineering , biology , agronomy , quantum mechanics , inverter , operating system
In this paper introduces a novel Fuzzy Logic Controller (FLC) as a Maximum Power Extracting (MPE) of photovoltaic standalone system is proposed, which can handle the uncertainties of the rules under high deviations in climate conditions. Conventional Perturb and Observe (P & O), hill-climbing MPE structures are examined. The MPE employed boost converter controller. The new controller improves P & O based maximum power tracker search method by rules fuzzifying of such method and eliminates the conventional drawback. A new FLC based improved P & O offers an accurate and fast converging to MPE during steady state and changing climatic situation compared to existing P & O and hill climbing method. The performance of the designed MPE is demonstrated in simulation MATLAB at dissimilar operating circumstances.