Hybrid Adaptive Control for PEMFC Gas Pressure

This paper addresses the issues of nonlinearity and coupling between anode pressure and cathode pressure in proton exchange membrane fuel cell (PEMFC) gas supply systems. A fuzzy adaptive PI decoupling control strategy with an improved advanced genetic algorithm (AGA) is proposed. This AGA s utilize...

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Main Authors: Jing Chen, Chenghui Zhang, Ke Li, Yuedong Zhan, Bo Sun
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/20/5334
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author Jing Chen
Chenghui Zhang
Ke Li
Yuedong Zhan
Bo Sun
author_facet Jing Chen
Chenghui Zhang
Ke Li
Yuedong Zhan
Bo Sun
author_sort Jing Chen
collection DOAJ
description This paper addresses the issues of nonlinearity and coupling between anode pressure and cathode pressure in proton exchange membrane fuel cell (PEMFC) gas supply systems. A fuzzy adaptive PI decoupling control strategy with an improved advanced genetic algorithm (AGA) is proposed. This AGA s utilized to optimize the PI parameters offline, and the fuzzy adaptive algorithm s used to adjust the PI parameters dynamically online to achieve the approximate decoupling control of the PEMFC gas supply system. According to the proposed dynamic model, the PEMFC gas supply system with the fuzzy–AGA–PI decoupling control method was simulated for comparison. The simulation results demonstrate that the proposed control system can reduce the pressure difference more efficiently with the classical control method under different load changes.
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spelling doaj.art-ec66e337233540e2ae0d16b4044b69c22023-11-20T16:56:13ZengMDPI AGEnergies1996-10732020-10-011320533410.3390/en13205334Hybrid Adaptive Control for PEMFC Gas PressureJing Chen0Chenghui Zhang1Ke Li2Yuedong Zhan3Bo Sun4School of Control Science and Engineering, Shandong University, Jingshi-Road 17923, Jinan 250061, ChinaSchool of Control Science and Engineering, Shandong University, Jingshi-Road 17923, Jinan 250061, ChinaSchool of Control Science and Engineering, Shandong University, Jingshi-Road 17923, Jinan 250061, ChinaDepartment of Automation, Kunming University of Science and Technology, Jingming-South-Street 727, Kunming 650500, ChinaSchool of Control Science and Engineering, Shandong University, Jingshi-Road 17923, Jinan 250061, ChinaThis paper addresses the issues of nonlinearity and coupling between anode pressure and cathode pressure in proton exchange membrane fuel cell (PEMFC) gas supply systems. A fuzzy adaptive PI decoupling control strategy with an improved advanced genetic algorithm (AGA) is proposed. This AGA s utilized to optimize the PI parameters offline, and the fuzzy adaptive algorithm s used to adjust the PI parameters dynamically online to achieve the approximate decoupling control of the PEMFC gas supply system. According to the proposed dynamic model, the PEMFC gas supply system with the fuzzy–AGA–PI decoupling control method was simulated for comparison. The simulation results demonstrate that the proposed control system can reduce the pressure difference more efficiently with the classical control method under different load changes.https://www.mdpi.com/1996-1073/13/20/5334proton exchange membrane fuel cellmembranepressure differenceadaptive controlintelligent optimizing algorithm
spellingShingle Jing Chen
Chenghui Zhang
Ke Li
Yuedong Zhan
Bo Sun
Hybrid Adaptive Control for PEMFC Gas Pressure
Energies
proton exchange membrane fuel cell
membrane
pressure difference
adaptive control
intelligent optimizing algorithm
title Hybrid Adaptive Control for PEMFC Gas Pressure
title_full Hybrid Adaptive Control for PEMFC Gas Pressure
title_fullStr Hybrid Adaptive Control for PEMFC Gas Pressure
title_full_unstemmed Hybrid Adaptive Control for PEMFC Gas Pressure
title_short Hybrid Adaptive Control for PEMFC Gas Pressure
title_sort hybrid adaptive control for pemfc gas pressure
topic proton exchange membrane fuel cell
membrane
pressure difference
adaptive control
intelligent optimizing algorithm
url https://www.mdpi.com/1996-1073/13/20/5334
work_keys_str_mv AT jingchen hybridadaptivecontrolforpemfcgaspressure
AT chenghuizhang hybridadaptivecontrolforpemfcgaspressure
AT keli hybridadaptivecontrolforpemfcgaspressure
AT yuedongzhan hybridadaptivecontrolforpemfcgaspressure
AT bosun hybridadaptivecontrolforpemfcgaspressure