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Variable Region Fuzzy Controller of ASVG based on Genetic Algorithm


Article Information

Title: Variable Region Fuzzy Controller of ASVG based on Genetic Algorithm

Authors: Zhisheng Shen, Zhixia Liu

Journal: Information Technology Journal

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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

Categories

Abstract

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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