文章基本信息

标题：Efficient Hybrid Control of Shell and Tube Heat Exchanger Using Interval Type-2 and Adaptive Neuro Fuzzy Based Fuzzy Inference System
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作者：Borkar Pravin Kumar ; Agrawal G.K ; Qureshi M.F 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
卷号：3
期号：11
页码：17528
DOI：10.15680/IJIRSET.2014.0311063
出版社：S&S Publications
摘要：In this paper, adaptive network based fuzzy inference system (ANFIS) was used in control applicationsof a Shell and Tube Heat Exchanger as interval type-2 fuzzy logic controller (IT-2FL). Two adaptive networks basedfuzzy inference systems were chosen to design type-2 fuzzy logic controllers for each control applications. The wholeintegrated system for control of Shell and Tube Heat Exchanger is called IT2 FLC+ANFIS controller. Membershipfunctions in interval type-2 fuzzy logic controllers were set as an area called footprint of uncertainty (FOU), which islimited by two membership functions of adaptive network based fuzzy inference systems; they were upper membershipfunction (UMF) and lower membership function (LMF). This paper deals with the design and application of an IT2FLC+ANFIS controller for a Shell and Tube heat exchanger. The IT2 FLC+ANFIS controller of the heat exchanger iscompared with classical PID control. System behaviors were defined by Lagrange formulation and MATLAB computersimulations. The simulation results confirm that interval type2 fuzzy is one of the promises for successful control ofheat exchangers. The advantage of this approach is that it is not a linear-model-based strategy. Comparison of thesimulation results obtained using IT2 FLC+ANFIS controller and those obtained using classical PID controldemonstrates the effectiveness and proves its simplicity and superiority over the conventional PID controller.
关键词：Adaptive network based fuzzy inference system; interval type-2 fuzzy controller; Shell and Tube Heat;Exchanger; control simulation