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Variable Region Fuzzy Controller of ASVG based on Genetic Algorithm

机译:基于遗传算法的ASVG可变区模糊控制器

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Variable region fuzzy control ler 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 control ler 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.
机译:提出了一种基于遗传算法的ASVG变域模糊控制器。该方法采用遗传算法优化的比例指数伸缩系数对当前回路模糊变量的论述范围进行转换。实现了电流环的自适应控制。利用S函数编程设计了ASVG可变区域的自适应模糊电流控制器。完成了ASVG的仿真实验。仿真结果表明,与传统的PID控制相比,基于变宇宙模糊控制的ASVG具有较强的抗干扰性能和鲁棒性。动态控制Quadergy,从而提高了输电系统的可靠性并增加了容量。

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