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Journal of Artificial Intelligence
  Year: 2012 | Volume: 5 | Issue: 1 | Page No.: 26-36
DOI: 10.3923/jai.2012.26.36
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Fuzzy Logic Controller Optimization Based on GA for Harmonic Mitigation

Rachid Dehini, Brahim Ferdi and Benaissa Bekkouche

In this study, a pulse generation method to trigger the MOSFETs of a shunt active power filter (SAPF) inverter is examined. The proposed method is aimed to compensate current harmonic, as well as reactive power compensation, in power systems with a large concentration of non-linear loads. Design of optimal fuzzy logic controller by genetic algorithm method is presented. Some parameters defining the fuzzy controller (membership functions, fuzzy rules) are optimized simultaneously. In order to investigate the performance of this control method, all studies have been carried out using simulation with the MATLAB Simulink power system toolbox. The results of simulation study of new SAPF control technique presented in this paper are found to be quite satisfactory by assuring good filtering characteristics and high system stability.
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  •    Modeling and Simulation of Shunt Active Filter for Non Linear Load
  •    Design of Intelligent SoC Controller for Engine Oil Sensing and Monitoring System
  •    A Short Note on Intuitionistic Fuzzy Ternary Subpolygroups
  •    A New Reinforcement Learning Optimization Method for Capacitor Allocation Considering Variable Load
How to cite this article:

Rachid Dehini, Brahim Ferdi and Benaissa Bekkouche, 2012. Fuzzy Logic Controller Optimization Based on GA for Harmonic Mitigation. Journal of Artificial Intelligence, 5: 26-36.

DOI: 10.3923/jai.2012.26.36






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