Open AccessApplication of an adaptive fuzzy logic controller to optimize the performances of the P&O algorithm
Author(s) -
Hamid Chekenbah,
Yassir Maataoui,
Rafik Lasri,
Larbi Choukri
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1088/1/012051
Subject(s) - control theory (sociology) , controller (irrigation) , fuzzy logic , computer science , open loop controller , power (physics) , generator (circuit theory) , adaptive control , control engineering , process (computing) , algorithm , control (management) , engineering , artificial intelligence , physics , closed loop , quantum mechanics , biology , agronomy , operating system
In this work, an Adaptive Fuzzy Logic Controller is studied to optimize the transfer of the power provided by a photovoltaic generator. The adaptation process is carried out online in two tasks: the adaptation of the rules consequences and the self-organization of the internal structure of the Fuzzy Controller. In comparison with two types of traditional controls, the performance of the controller studied is validated. The simulation results show that the controller studied makes it possible to reduce the response time by 3 % compared to the conventional controller, and minimizes the steady-state error by eliminating the phenomenon of oscillation around the PPM and that the proposed controller exhibits good behavior with a wide range of power.