基于模糊ADRC的燃料电池氢气供给子系统动态建模与控制研究

Research on Dynamic Modeling and Control of Hydrogen Supply Subsystem for Fuel Cells Based on Fuzzy ADRC

  • 摘要: 质子交换膜燃料电池氢气供给系统在动态工况下具有显著的非线性、滞后性及对外部扰动的高敏感性,阳极压力波动对电堆性能与系统经济性构成制约。针对供氢系统存在的响应迟滞、滞回效应及氮气渗透等动态特性,构建多变量耦合的燃料电池氢气供给系统仿真模型,并提出了融合模糊控制和自抗扰控制的模糊自整定控制策略 (Fuzzy-ADRC),基于压力偏差及其变化率在线自适应调整ADRC关键参数,从而有效克服传统ADRC在参数辨识复杂、动态适应性不足等方面的局限性。实验结果表明,所提策略可将排氮压力波动限制在1.08 kPa以内,变载响应时间不超过5.4 s,最大压力超调小于10.65 kPa。与传统PID控制相比,排氮压力波动、响应时间和压力超调分别降低50.68%、19.88%和25.05%,显著增强了系统对外部扰动的抑制能力与动态跟踪性能。研究成果为燃料电池供氢系统的优化设计与高效控制提供了理论依据和工程参考。

     

    Abstract: The hydrogen supply system in proton exchange membrane fuel cells(PEMFCs) exhibits pronounced nonlinear and dynamic characteristics under transient operating conditions. Anode pressure fluctuations caused by external disturbances can significantly impact stack performance and overall system efficiency. To address issues such as response lag, hysteresis effects, and nitrogen crossover, a multivariable coupled dynamic model of the hydrogen supply system is developed. A fuzzy self-tuning active disturbance rejection control(Fuzzy-ADRC) strategy is proposed, integrating fuzzy logic control(FLC) with active disturbance rejection control(ADRC), and a coordinated pressure-flow control architecture is established. Simulation results indicate that the proposed control strategy limits the peak anode-side nitrogen purge pressure fluctuation to 1.08 kPa, achieves a maximum load-transition response time of 5.4 s, and restricts pressure overshoot to 10.65 kPa. Compared to conventional feedforward PID control, the Fuzzy-ADRC reduces nitrogen purge pressure fluctuation, dynamic response time, and pressure overshoot by 50.68%, 19.88%, and 25.05%, respectively. The results verify the effectiveness of the proposed control strategy in mitigating the impact of external disturbances on pressure fluctuations and provide theoretical and engineering guidance for the coordinated control design of PEMFC hydrogen supply systems.

     

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