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

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

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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 wella color touch 77 45 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 dodge warlord for sale 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.