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Tuning of fuzzy output control rules for wind power generating system using genetic algorithm

机译:使用遗传算法调整风力发电系统的模糊输出控制规则

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摘要

In this paper, an application of genetic algorithm for tuning fuzzy control rules for a wind power generating system is described. The system consists of a propeller type windmill, a D.C. generator connected to batteries and a fuzzy controller. The consequence parts of the fuzzy output control rules are regarded as gene and adjusted by the genetic algorithm so that the system output increases. Simulation results demonstrate that the proposed scheme is effective for tuning of the suitable control rules of the wind power generating system.
机译:在本文中,描述了对调谐风力发电系统的模糊控制规则的遗传算法的应用。该系统由螺旋桨式风车组成,D.C.发电机连接到电池和模糊控制器。模糊输出控制规则的后果部分被视为基因并被遗传算法调整,以便系统输出增加。模拟结果表明,该方案对于调整风力发电系统的合适控制规则是有效的。

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