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

DOI: https://doi.org/10.55228/JTST.13(2).50-63

Keywords

Quadruple-tank system (QTS), Fuzzy PI controller, PI-MOJaya controller, Multi-objective Jaya optimization (MOJaya), Optimal parameters, Water level

Abstract

This 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.

##plugins.themes.default.displayStats.downloads##

##plugins.themes.default.displayStats.noStats##