A fuzzy compensation-Koopman model predictive control design for pressure regulation in proten exchange membrane electrolyzer
Haokun Xiong 1Lei Xie 1Cheng Hu 1Hongye Su1
扫码查看
点击上方二维码区域，可以放大扫码查看
作者信息
1. State Key Laboratory of Industrial Control Technology,Zhejiang University,Hangzhou 310027,China
折叠
Abstract
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 ac-curate 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.
Key words
Hydrogen production/PEM electrolyzer/Nonlinear control/Model predictive control/Koopman operator/Fuzzy logic system
维普
万方数据