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Hybrid Adaptive Control for PEMFC Gas Pressure

Author

Listed:
  • 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)

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.

Suggested Citation

  • Jing Chen & Chenghui Zhang & Ke Li & Yuedong Zhan & Bo Sun, 2020. "Hybrid Adaptive Control for PEMFC Gas Pressure," Energies, MDPI, vol. 13(20), pages 1-13, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5334-:d:427366
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    References listed on IDEAS

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    3. Jarosław Brodny & Magdalena Tutak, 2020. "Analyzing Similarities between the European Union Countries in Terms of the Structure and Volume of Energy Production from Renewable Energy Sources," Energies, MDPI, vol. 13(4), pages 1-37, February.
    4. Na, Woonki & Gou, Bei & Kim, Jonghoon & Mojica, Felipe & Abel Chuang, Po-Ya, 2020. "Complementary cooperation dynamic characteristics analysis and modeling based on multiple-input multiple-output methodology combined with nonlinear control strategy for a polymer electrolyte membrane ," Renewable Energy, Elsevier, vol. 149(C), pages 273-286.
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    Cited by:

    1. Robert Nebeluk & Maciej Ławryńczuk, 2022. "Fast Model Predictive Control of PEM Fuel Cell System Using the L 1 Norm," Energies, MDPI, vol. 15(14), pages 1-17, July.
    2. Paweł Ocłoń & Maciej Ławryńczuk & Marek Czamara, 2021. "A New Solar Assisted Heat Pump System with Underground Energy Storage: Modelling and Optimisation," Energies, MDPI, vol. 14(16), pages 1-15, August.

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