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BIAN Yangzhen, XIAO Zongliang, YANG Jian, ZHONG Quanming, DING Yi, ZHANG Lin. Simulation of PEMFC Voltage Stabilization System for Underwater Unmanned Power Platform Based on Fuzzy Control[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2025-0061
Citation: BIAN Yangzhen, XIAO Zongliang, YANG Jian, ZHONG Quanming, DING Yi, ZHANG Lin. Simulation of PEMFC Voltage Stabilization System for Underwater Unmanned Power Platform Based on Fuzzy Control[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2025-0061

Simulation of PEMFC Voltage Stabilization System for Underwater Unmanned Power Platform Based on Fuzzy Control

doi: 10.11993/j.issn.2096-3920.2025-0061
  • Received Date: 2025-04-24
  • Accepted Date: 2025-07-04
  • Rev Recd Date: 2025-06-22
  • Available Online: 2025-11-04
  • Aiming at the demand of underwater unmanned power platform for efficient and stable energy system, this paper focuses on the problem of strong nonlinearity and easy fluctuation of the output voltage of proton exchange membrane fuel cell (PEMFC), and proposes a DC-DC converter voltage stabilization strategy based on the fuzzy PID adaptive control.Due to the strong nonlinear characteristics of the output voltage of the PEMFC and its easy to fluctuate, the traditional control methods have limitations in the dynamic response and robustness. limitations of traditional control methods in terms of dynamic response and robustness. In this study, a mathematical model of PEMFC (including Nernst voltage and activation, ohmic, and concentration loss) and a Boost boost circuit model are established to analyze the voltage fluctuation mechanism. The core innovation lies in the design of a fuzzy PID controller with a rule base that deeply couples the PID control principle with the nonlinear characteristics of PEMFC, which realizes the online dynamic self-tuning of proportional, integral, and differential parameters to optimize the DC-DC converter duty cycle in real time. The results show that compared with the traditional PID, the fuzzy PID control can shorten the system regulation time , the steady-state error tends to be close to zero, the output voltage fluctuation range is narrowed to within ±0.5V under the sudden current change condition, and the duty cycle response is more accurate. The fuzzy PID adaptive strategy significantly enhances the dynamic response speed and robustness of the system, providing a reliable theoretical cornerstone and solution for the efficient and stable fluctuation of the energy heart of the underwater unmanned platform.

     

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