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Multidisciplinary Digital Publishing Institute (MDPI)
Doi
Abstract
Petrochemical and dairy industries, waste management, and paper manufacturing fall
under the category of process industries where flow and liquid control are essential. Even when
liquids are mixed or chemically treated in interconnected tanks, the fluid and flow should constantly
be observed and controlled, especially when dealing with nonlinearity and imperfect plant models.
In this study, we propose a nonlinear dynamic multiple-input multiple-output (MIMO) plant model.
This model is then transformed through linearization, a technique frequently utilized in the analysis
and modeling of fractional processes, and decoupling for decentralized fixed-structure H-infinity
robust control design. Simulation tests based on MATLAB and SIMULINK are subsequently executed.
Numerous assessments are conducted to evaluate tracking performance, external disturbance re jection, and plant parameter fluctuations to gauge the effectiveness of the proposed model. The
objective of this work is to provide a framework that anticipates potential outcomes, paving the way
for implementing a reliable controller synthesis for MIMO-connected tanks in real-world scenarios.This research was partially funded by FONDECYT grant number 1200525 (V.L.) from
the National Agency for Research and Development (ANID) of the Chilean government under the
Ministry of Science, Technology, Knowledge, and Innovation; and by Portuguese funds through the
CMAT—Research Centre of Mathematics of University of Minho—within projects UIDB/00013/2020
and UIDP/00013/2020 (C.C.)
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