IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i3p476-d1572903.html
   My bibliography  Save this article

Internal Model Control for Onboard Methanol-Reforming Hydrogen Production Systems

Author

Listed:
  • Fengxiang Chen

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Yuanyuan Duan

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Yaowang Pei

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Bo Zhang

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

Abstract

Methanol reforming is considered to be one of the most promising hydrogen production technologies for hydrogen fuel cells. It is expected to solve the problem of hydrogen storage and transportation because of its high hydrogen production rate, low cost, and good safety. However, the strong nonlinearity and slow response of the pressure and temperature subsystems pose challenges to the tracking control of the methanol reforming hydrogen production system. In this paper, two internal model-based temperature and pressure controllers are proposed, in which the temperature is adjusted by controlling the air flow and the pressure is adjusted by controlling the opening of the back-pressure valve. Firstly, a lumped parameter model of the methanol reforming hydrogen production system is constructed using MATLAB/Simulink ® (produced by MathWorks in Natick, Massachusetts, USA). In addition, the transfer function model of the system is obtained by system identification at the equilibrium point, and the internal model controller is further designed. The simulation results show that the control method achieves the robustness of the system, and the temperature and pressure of the reforming reactor can quickly and accurately track the target value when the load changes. Small-load step tests indicate stable tracking of the temperature and pressure for the reforming reactor, without steady-state errors. Under large-temperature step signal testing, the response time for the reforming temperature is about 148 s, while the large-pressure step signal test shows that the response time for the reforming pressure is about 8 s. Compared to the PID controller, the internal model controller exhibits faster response, zero steady-state error, and no overshoot. The results show that the internal model control method has strong robustness and dynamic characteristics.

Suggested Citation

  • Fengxiang Chen & Yuanyuan Duan & Yaowang Pei & Bo Zhang, 2025. "Internal Model Control for Onboard Methanol-Reforming Hydrogen Production Systems," Energies, MDPI, vol. 18(3), pages 1-32, January.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:476-:d:1572903
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/3/476/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/3/476/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:476-:d:1572903. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.