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Design and real‐time implementation of an adaptive fuzzy sliding mode controller for a coupled tank system
Author(s) -
Mahapatro Soumya Ranjan,
Subudhi Bidyadhar,
Ghosh Subhojit
Publication year - 2018
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/jnm.2485
Subject(s) - control theory (sociology) , robustness (evolution) , fuzzy logic , pid controller , controller (irrigation) , linear matrix inequality , open loop controller , computer science , control engineering , engineering , mathematics , temperature control , control (management) , mathematical optimization , closed loop , artificial intelligence , agronomy , biochemistry , chemistry , biology , gene
In this paper, an adaptive fuzzy sliding mode controller (AFSMC) is proposed for regulation of liquid level in a coupled tank system (CTS). In this controller design, a fuzzy variable is considered in the sliding surface in order to reduce the chattering effect. The proposed controller exhibits high robustness against external disturbances and also measurement error. To verify the efficacy of the proposed controller, we compared its performances with that of a linear matrix inequality (LMI)–based proportional integral (PI) controller. The efficacy of the proposed controller is verified by implementing this controller in real time on the coupled tank liquid level system. From both the obtained simulation and experimental results, it is observed that the proposed controller exhibits superior control performance to maintain the desired level as compared with the LMI‐based PI controller.