Optimizing the fuzzy PI controller for quadruple tank system using multi-objective Jaya algorithm

creativework.keywordsQuadruple-tank system (QTS)
creativework.keywordsFuzzy PI controller
creativework.keywordsPI-MOJaya controller
creativework.keywordsMulti-objective Jaya optimization (MOJaya)
creativework.keywordsOptimal parameters
creativework.keywordsWater level
dc.contributor.authorNguyen Anh Tuan
dc.contributor.authorHo Pham Huy Anh
dc.date.accessioned2024-05-29T07:41:41Z
dc.date.available2024-05-29T07:41:41Z
dc.date.issued2024-03
dc.description.abstractThis article proposes the Jaya optimization algorithm for the multi-objective optimization of parameters for a Fuzzy Proportional-Integral (Fuzzy PI) controller, referred to as MOJaya. The purpose is to control the water level of a quadruple-tank system (QTS). The controlled plant is a nonlinear and uncertain Multiple-Input Multiple-Output (MIMO) system, which is affected by various factors such as parameter uncertainties, external disturbances, and significant time delays. These factors have a considerable impact on the stability of the control system. The parameters of the fuzzy controller and the normalization coefficients of the Fuzzy PI controller are optimized offline using the multi-objective Jaya optimization (MOJaya) algorithm. To demonstrate the effectiveness of the proposed algorithm, it was compared with the Fuzzy PI and PI-MOJaya algorithms. The simulation results indicate that the proposed algorithm outperforms the other algorithms in terms of control quality.
dc.description.sponsorshipThis study was funded by Saigon University (SGU) under grant number CSB2022-53.
dc.identifier.issn1859-4263
dc.identifier.urihttps://thuvienso.ut.edu.vn/handle/123456789/1062
dc.language.isoen
dc.relation.ispartofseriesVolume 13; Issue 2
dc.titleOptimizing the fuzzy PI controller for quadruple tank system using multi-objective Jaya algorithm
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