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Jo Hyok
Faculty of Control Science, University of Sciences, Unjong District, Pyongyang 999093
Chemical Engineering, Chemistry & Bioengineering Energy Engineering Materials Science & Nanotechnology

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Study on the Model Prediction Control and MRAS in Electrodeposited Process Control System for Vehicle Painting Jo Hyok; Pak GumHyok; Ri CholMan; Han GuangJin; Kim Jong Chol; Ri Gi Song
Journal of Chemical Engineering Research Progress 2026: JCERP, Volume 3 Issue 2 Year 2026 (December) (Issue in Progress)
Publisher : UPT Laboratorium Terpadu, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/jcerp.20731

Abstract

Electrodeposition is widely used in automotive painting due to its high adhesion and uniform coating. Temperature control is critical for coating quality, but stirred tanks exhibit nonlinear dynamics with large inertia and time-varying parameters. This study aims to develop an integrated control strategy combining model predictive control (MPC) with a model reference adaptive system (MRAS) to improve temperature control accuracy and robustness in a stirred electrodeposition tank. A robust MPC with N-step-free control action was designed based on an ARX-identified state-space model, and an MRAS estimator with PI adaptation was integrated to online-update the dominant time constant perturbed by stirring. Simulation and experimental results demonstrated that the proposed MPC-MRAS method achieved temperature control accuracy within ±0.2 °C, superior set-point tracking, and robust disturbance rejection compared to conventional MPC without parameter adaptation. The integrated strategy effectively compensates for model uncertainties caused by fluid agitation and operational variations, showing significant potential for industrial electrodeposition applications. Copyright © 2026 by Authors, Published by Universitas Diponegoro and BCREC Publishing Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).
Co-Authors Han GuangJin Kim Jong Chol Pak GumHyok Ri CholMan Ri Gi Song