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Adaptive disturbance observer-based terminal sliding mode algorithm for a Mini excavator proton exchange membrane fuel cell air feeding system

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  • Du Phan, Van
  • Trinh, Hoai-An
  • Ahn, Kyoung Kwan

Abstract

In this paper, adaptive disturbance observer (ADO)-based nonlinear tracking control scheme is developed for a mini excavator proton exchange membrane fuel cell (PEMFC) air feed regulation system. The suggested method aims to avoid the oxygen starvation in the presence of model uncertainties and the varying load current. First, the adaptive disturbance observer is elaborated to estimate the lumped disturbance term, including load current disturbance and model uncertainties. Then, the non-singular terminal sliding mode control (NTSMC) with disturbance rejection is conducted to ensure the speed tracking control design. Moreover, a dynamic surface control (DSC) is constructed to adjust the oxygen excess ratio (OER) and handle the ‘complex of explosion’. The presented controller not only realizes that error signal converges to zero but also guarantees that all signals of the whole PEMFC air feeding system are bounded. Ultimately, the simulation studies and Hardware in loop (HIL) experiment are performed to demonstrate the excellent control qualification of the proposed strategy method.

Suggested Citation

  • Du Phan, Van & Trinh, Hoai-An & Ahn, Kyoung Kwan, 2025. "Adaptive disturbance observer-based terminal sliding mode algorithm for a Mini excavator proton exchange membrane fuel cell air feeding system," Applied Energy, Elsevier, vol. 382(C).
    • Handle: RePEc:eee:appene:v:382:y:2025:i:c:s0306261925000340
    DOI: 10.1016/j.apenergy.2025.125304
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    References listed on IDEAS

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    1. Li, Tianyu & Huang, Lingtao & Liu, Huiying, 2019. "Energy management and economic analysis for a fuel cell supercapacitor excavator," Energy, Elsevier, vol. 172(C), pages 840-851.
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