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Title: Variable Region Fuzzy Controller of ASVG based on Genetic Algorithm
Authors: Zhisheng Shen, Zhixia Liu
Journal: Information Technology Journal
Publisher: Asian Network for Scientific Information (ANSInet)
Country: Pakistan
Year: 2014
Volume: 13
Issue: 15
Language: English
DOI: 10.10.3923/itj.2014.2502.2507
Keywords: fuzzy controlcontraction-expansion factorvariable regionASVG
Variable region fuzzy controller of ASVG based on genetic algorithm is proposed. In this method, the universe of discourse of the current loop fuzzy variables are converted, adopting genetic algorithm optimized proportional exponential contraction-expansion factor. The adaptive control of current loop is achieved. The adaptive fuzzy current controller with variable region of ASVG is designed using S-Function programming. The simulation experiment of ASVG is done. The simulation results show that compared with traditional PID control, ASVG based on variable universe fuzzy controller has the strong anti-interference performance and robustness. Quadergy is dynamically controlled, thereby the reliability of the power transmission system is improved and capacity is increased.
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