A fuzzy compensation-Koopman model predictive control design for pressure regulation in proten exchange membrane electrolyzer
作者机构：Zhejiang Univ State Key Lab Ind Control Technol Hangzhou 310027 Peoples R China
出 版 物：《CHINESE JOURNAL OF CHEMICAL ENGINEERING》 (Chin J Chem Eng)
年 卷 期：2024年第76卷第12期
页 面：251-263页
核心收录：
学科分类：0710[理学-生物学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 0817[工学-化学工程与技术] 0703[理学-化学] 0701[理学-数学] 070101[理学-基础数学]
基 金：The 2022 Zhejiang Provincial Science and Technology Plan Project [2022C01035]
主 题：Hydrogen production PEM electrolyzer Nonlinear control Model predictive control Koopman operator Fuzzy logic system
摘 要：Proton exchange membrane (PEM) electrolyzer have attracted increasing attention from the industrial and researchers in recent years due to its excellent hydrogen production performance. Developing accurate models to predict their performance is crucial for promoting and accelerating the design and optimization of electrolysis systems. This work developed a Koopman model predictive control (MPC) method incorporating fuzzy compensation for regulating the anode and cathode pressures in a PEM electrolyzer. A PEM electrolyzer is then built to study pressure control and provide experimental data for the identification of the Koopman linear predictor. The identified linear predictors are used to design the Koopman MPC. In addition, the developed fuzzy compensator can effectively solve the Koopman MPC model mismatch problem. The effectiveness of the proposed method is verified through the hydrogen production process in PEM simulation. (c) 2024 The Chemical Industry and Engineering Society of China, and Chemical Industry Press Co., Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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