Hybrid Adaptive Control for PEMFC Gas Pressure

被引：8

作者：

Chen, Jing ^{[1
]}

Zhang, Chenghui ^{[1
]}

Li, Ke ^{[1
]}

Zhan, Yuedong ^{[2
]}

Sun, Bo ^{[1
]}

机构：

[1] Shandong Univ, Sch Control Sci & Engn, Jingshi Rd 17923, Jinan 250061, Peoples R China

[2] Kunming Univ Sci & Technol, Dept Automat, Jingming South St 727, Kunming 650500, Peoples R China

来源：

ENERGIES | 2020年 / 13卷 / 20期

基金：

中国国家自然科学基金;

关键词：

proton exchange membrane fuel cell; membrane; pressure difference; adaptive control; intelligent optimizing algorithm; MEMBRANE FUEL-CELL; NONLINEAR CONTROL; PERFORMANCE; CATHODE; OPTIMIZATION;

D O I：

10.3390/en13205334

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页数：13

共 30 条

[1] Generalized Predictive Control for gas supply system in a Proton Exchange Membrane Fuel Cell [J].

An, Aimin ;

Zhang, Haochen ;

Liu, Xin ;

Chen, Liwen .

RENEWABLE AND SUSTAINABLE ENERGY II, PTS 1-4, 2012, 512-515 :1380-1388

[2] Determination of thermal compact model via evolutionary genetic optimization method [J].

Arunasalam, P ;

Seetharamu, KN ;

Azid, IA .

IEEE TRANSACTIONS ON COMPONENTS AND PACKAGING TECHNOLOGIES, 2005, 28 (02) :345-352

[3] Analyzing Similarities between the European Union Countries in Terms of the Structure and Volume of Energy Production from Renewable Energy Sources [J].

Brodny, Jaroslaw ;

Tutak, Magdalena .

ENERGIES, 2020, 13 (04)

[4] Performance degradation of a proton exchange membrane fuel cell with dead-ended cathode and anode [J].

Chen, Ben ;

Cai, Yonghua ;

Shen, Jun ;

Tu, Zhengkai ;

Chan, Siew Hwa .

APPLIED THERMAL ENGINEERING, 2018, 132 :80-86

[5] Control system design for proton exchange membrane fuel cell based on a common rail (II): Optimization and schedule scheme for the common rail [J].

Chen, Fengxiang ;

Yu, Yang ;

Liu, Ying .

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2017, 42 (07) :4294-4301

[6]

Chen J, 2018, INT C ELECTR MACH SY, P1145, DOI 10.23919/ICEMS.2018.8549210

[7] Cuckoo search algorithm with explosion operator for modeling proton exchange membrane fuel cells [J].

Chen, Yiping ;

Wang, Ning .

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2019, 44 (05) :3075-3087

[8]

Ebadighajari A, 2016, P AMER CONTR CONF, P4428, DOI 10.1109/ACC.2016.7525619

[9] Assessing national renewable energy competitiveness of the G20: A revised Porter's Diamond Model [J].

Fang, Kai ;

Zhou, Yunheng ;

Wang, Shuang ;

Ye, Ruike ;

Guo, Sujian .

RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 93 :719-731

[10]

Floudas C.A., 1990, COLLECTION TEST PROB, P6

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