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Information Technology Journal
  Year: 2014 | Volume: 13 | Issue: 15 | Page No.: 2502-2507
DOI: 10.3923/itj.2014.2502.2507
 
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Variable Region Fuzzy Controller of ASVG based on Genetic Algorithm
Zhisheng Shen and Zhixia Liu

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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How to cite this article:

Zhisheng Shen and Zhixia Liu, 2014. Variable Region Fuzzy Controller of ASVG based on Genetic Algorithm. Information Technology Journal, 13: 2502-2507.

DOI: 10.3923/itj.2014.2502.2507

URL: https://scialert.net/abstract/?doi=itj.2014.2502.2507

 
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