Open AccessTHD and Compensation Time Analysis of Three-Phase Shunt Active Power Filter Using Adaptive Spider Net Search Algorithm (ASNS) for Aircraft System
Author(s) -
Saifullah Khalid
Publication year - 2017
Publication title -
journal of machine intelligence
Language(s) - English
Resource type - Journals
ISSN - 2377-2220
DOI - 10.21174/jomi.v2i1.98
Subject(s) - correctness , matlab , computer science , algorithm , total harmonic distortion , genetic algorithm , control theory (sociology) , engineering , voltage , control (management) , artificial intelligence , machine learning , electrical engineering , operating system
A novel Adaptive Spider Net Search Algorithm (ASNS) has been presented, which has been used for the optimization of conventional control scheme used in shunt active power filter for aircraft system. The superiority of this algorithm over existing Genetic Algorithm results has been presented by analyzing the THD and compensation time of both the algorithms. The simulation results using MATLAB model ratify that algorithm has optimized the control technique, which unmistakably proves the usefulness of the proposed algorithm in aircraft supply system.
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