首页|基于自适应超扭曲算法的燃料电池供气系统二阶滑模控制研究

基于自适应超扭曲算法的燃料电池供气系统二阶滑模控制研究

Research on Second-order Sliding Mode Control of Fuel Cell Gas Supply System Based on Adaptive Super-twist Algorithm

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针对某小型无人机基于聚合物交换膜氢燃料电池和锂离子电池的电推进混合动力系统的实用化需求,提出了一种基于非线性自适应超扭曲算法的二阶滑模氢燃料电池供气系统控制的设计方法.通过研究燃料电池供气系统空压机空气流量与过氧比之间的关系,建立了期望空气流量与最佳期望过氧比关系的参考模型.在参考模型的基础上,引入自适应超扭曲二阶滑模控制器来优化燃料电池供气系统的性能.仿真结果表明,该控制器具有较强的鲁棒性,在负载变化和参数不确定情况下具有良好的暂态性能,同时保证了受控系统的稳定性,优化的压缩机功率配置比恒定的压缩机功率配置节能2.7%,验证了自适应超扭曲二阶滑模控制器的有效性能.
Aiming at the practical application of the electric propulsion hybrid power system of a small UAV based on polymer exchange membrane hydrogen fuel cell and lithium-ion battery,a design method of second-order sliding mode hydrogen fuel cell gas supply system based on nonlinear adaptive super-twist algorithm is proposed.Based on the study of the relationship between the air flow rate and the oxygen excess ratio of air compressor in fuel cell gas supply system,a reference model for the relationship between expected air flow rate and optimal expected oxygen excess ratio is established.Based on the reference model,an adaptive super-twisted second-order sliding mode controller is introduced to optimize the performance of the fuel cell gas supply system.The simulation results show that the controller has strong robustness,good transient performance in the case of load changes and parameter uncertainties,and ensures the stability of the controlled system.The optimized compressor power configuration saves 2.7%more energy than the constant compressor power configuration,which verifies the effective performance of the adaptive super-twist second-order sliding mode controller.

adaptive super-twist algorithmfuel cellgas supply systemsecond-order sliding mode control

李勇、郭庆、张开轩、张翔、党利

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郑州航空工业管理学院 航空发动机学院,河南 郑州 450046

自适应超扭曲算法 燃料电池 供气系统 二阶滑模控制

国家级大学生创新创业训练计划(2023)河南省重点研发与推广专项(科技攻关)郑州航空工业管理学院大学生创新创业训练计划

202310485001232102240071

2024

郑州航空工业管理学院学报
郑州航空工业管理学院

郑州航空工业管理学院学报

CHSSCD
影响因子:0.371
ISSN:1007-9734
年,卷(期):2024.42(2)
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