Performance comparison of Type-1 and Type-2 fuzzy logic systems

K. A. Naik, C. P. Gupta
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引用次数: 18

Abstract

Fuzzy Logic concepts have been applied with great success in many world applications. The majority of fuzzy logic system (FLS) so far has been used Type-1 FLS. However, Type-1 FLS cannot handle the high level of uncertainties available in the system (plant). A new concept named as interval Type-2 FLS has been developed due to its uncertainties handling capacity. In this paper, Type-1 and Type-2 FLS are developed and designed for pitch angle controlled wind energy system as an application to investigate their performance. The results show that the Type-2 fuzzy logic controller offers better performance than the Type-1 FLS.
一类和二类模糊逻辑系统的性能比较
模糊逻辑概念在世界上的许多应用中都取得了巨大的成功。目前大多数模糊逻辑系统(FLS)都是采用1型模糊逻辑系统。然而,1型FLS不能处理系统(工厂)中可用的高水平不确定性。由于其处理能力的不确定性,提出了一种新的概念,称为区间2型FLS。本文开发并设计了用于俯仰角控制风能系统的1型和2型FLS,并对其性能进行了研究。结果表明,2型模糊控制器的性能优于1型模糊控制器。
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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