Hybrid Adaptive Control for PEMFC Gas Pressure

Jing Chen, Chenghui Zhang, Ke Li, Yuedong Zhan and Bo Sun
Additional contact information
Jing Chen: School of Control Science and Engineering, Shandong University, Jingshi-Road 17923, Jinan 250061, China
Chenghui Zhang: School of Control Science and Engineering, Shandong University, Jingshi-Road 17923, Jinan 250061, China
Ke Li: School of Control Science and Engineering, Shandong University, Jingshi-Road 17923, Jinan 250061, China
Yuedong Zhan: Department of Automation, Kunming University of Science and Technology, Jingming-South-Street 727, Kunming 650500, China
Bo Sun: School of Control Science and Engineering, Shandong University, Jingshi-Road 17923, Jinan 250061, China

Energies, 2020, vol. 13, issue 20, 1-13

Abstract: 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.

Keywords: proton exchange membrane fuel cell; membrane; pressure difference; adaptive control; intelligent optimizing algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/20/5334/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/20/5334/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:20:p:5334-:d:427366

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().