Improved Transient Performance of a Fuzzy Modified Model Reference Adaptive Controller for an Interacting Coupled Tank System Using Real-Coded Genetic Algorithm

International Journal of Chemical Engineering. 2014;2014 DOI 10.1155/2014/351973


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Journal Title: International Journal of Chemical Engineering

ISSN: 1687-806X (Print); 1687-8078 (Online)

Publisher: Hindawi Limited

LCC Subject Category: Technology: Chemical technology: Chemical engineering

Country of publisher: United Kingdom

Language of fulltext: English

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Asan Mohideen Khansadurai (National College of Engineering, Maruthakulam, Tirunelveli District, Tamil Nadu 627151, India)
Valarmathi Krishnasamy (PSR Engineering College, Sivakasi, Virudhunagar District, Tamil Nadu 626140, India)
Radhakrishnan Thota Karunakaran (National Institute of Technology, Thiruchirappalli, Tamil Nadu 620015, India)


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Time From Submission to Publication: 14 weeks


Abstract | Full Text

The main objective of the paper is to design a model reference adaptive controller (MRAC) with improved transient performance. A modification to the standard direct MRAC called fuzzy modified MRAC (FMRAC) is used in the paper. The FMRAC uses a proportional control based Mamdani-type fuzzy logic controller (MFLC) to improve the transient performance of a direct MRAC. The paper proposes the application of real-coded genetic algorithm (RGA) to tune the membership function parameters of the proposed FMRAC offline so that the transient performance of the FMRAC is improved further. In this study, a GA based modified MRAC (GAMMRAC), an FMRAC, and a GA based FMRAC (GAFMRAC) are designed for a coupled tank setup in a hybrid tank process and their transient performances are compared. The results show that the proposed GAFMRAC gives a better transient performance than the GAMMRAC or the FMRAC. It is concluded that the proposed controller can be used to obtain very good transient performance for the control of nonlinear processes.