Application of GA-Fuzzy Controller design to Automatic Generation Control

Craig D. Boesack, T. Marwala, F. Nelwamondo
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引用次数: 6

Abstract

The design of fuzzy logic controllers involves the rationalization of the Fuzzy Inferencing Rules and the appropriate selection of the input and output membership functions. This typically have been achieved by the application of expert knowledge of plant operation and by the appropriate selection of weighting gains. This paper presents the fuzzy logic controller with certain parameters which can be optimized to suite the specific application under control. Traditionally, this has been performed manually by design. However, contained within this study, Genetic Algorithms are applied as a plausible fuzzy logic controller optimizer (Genetic - Fuzzy Controller), and is applied to the Automatic Generation Control problem of large interconnected power systems.
ga -模糊控制器设计在自动发电控制中的应用
模糊逻辑控制器的设计包括模糊推理规则的合理化和输入输出隶属函数的合理选择。这通常是通过应用工厂操作的专业知识和适当选择加权增益来实现的。本文提出了一种具有一定参数的模糊控制器,这些参数可以被优化以适应被控制的特定应用。传统上,这是通过设计手动执行的。然而,在本研究中,遗传算法被用作似是而非的模糊逻辑控制器优化器(Genetic - fuzzy controller),并应用于大型互联电力系统的自动发电控制问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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