文献类型：期刊文献

英文题名：Handling Uncertainty in Semi-Batch Process Via Extremum-Seeking and Extended State Observer

作者：Sun, Jinggao[1];Jiao, Daoshuai[1];Ge, Chenghu[1];Yan, Huaicheng[1]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai, Peoples R China

年份：2026

外文期刊名：INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING

收录：;EI(收录号：20262921108327);Scopus(收录号：2-s2.0-105044543999);WOS:【SCI-EXPANDED(收录号:WOS:001819410600001)】；

基金：This work was supported by the National Natural Science Foundation of China (Grant Nos. 62333005 and 62073143).

语种：英文

外文关键词：backstepping control; extremum-seeking control; gradient estimation; model parameters estimation; semi-batch process; uncertainty estimator

摘要：Semi-batch polymerization is a crucial industrial chemical process. Due to the inherent uncertainties in model parameters and external disturbances affecting the system, achieving robust control performance is challenging. Enthalpy, a time-invariant yet uncertain parameter, varies from its nominal value across different batches and is not precisely known. This article addresses the estimation problem by converting it into a convex optimization problem and employing time-varying extremum-seeking control to solve it. Using the estimated enthalpy and chemical reaction rate, backstepping control is applied to track the reactor temperature to its setpoint. To mitigate external disturbances arising from fluctuations in feed and inlet coolant temperature, extended state observer based estimators are designed to compute the unknown terms associated with uncertainties. These terms are subsequently utilized in the backstepping controller to reduce the impact of external disturbances. Numerical simulations demonstrate the effectiveness of the proposed control scheme in the semi-batch polymerization process.