综合智慧能源2025，Vol.47Issue(6)：57-73,17.DOI:10.3969/j.issn.2097-0706.2025.06.007
基于蛇优化算法的PEMFC空气供给系统模糊自抗扰控制
Fuzzy active disturbance rejection control of PEMFC air intake unit based on snake optimization algorithm
摘要
Abstract
The strong coupling between air flow and pressure in proton exchange membrane fuel cells(PEMFC)results in poor output stability and slow response speed of cell systems.To address these issues,an improved active disturbance rejection control(ADRC)strategy incorporating snake optimization algorithm and fuzzy control was proposed based on the feedforward compensation decoupling structure of the air supply system.The state-space equations of the air supply system were established based on the feedforward compensation decoupling structure.A coupling matrix between flow and pressure was derived which was designed to eliminate the coupling between air flow and pressure.For the improved ADRC design,the feedback control law gain was divided into two parts:the first part was coarsely adjusted using fuzzy control,and the parameters for the second part of state observer gain and feedback control law gain were precisely tuned using the improved snake optimization algorithm.The improved snake optimization algorithm incorporated the chaotic mapping strategy using sequence-based particle swarm optimization method(SPM)for population initialization,enhancing population diversity.Dynamic inertia weights and triangular walk strategy addressed limitations such as slow optimization speed during the early exploration phase.Lens imaging and greedy combination strategies expanded the search range and prevented the algorithm from falling into local optima.A 3 kW fuel cell system was built to verify the correctness and effectiveness of the proposed control strategy.The experimental results showed that the proposed strategy achieved excellent control performance in terms of parameter decoupling and setpoint tracking.The strategy significantly reduced the overshoot,settling time,and oscillations,improving the response speed and dynamic performance of fuel cell system.关键词
氢能/质子交换膜燃料电池/空气供给系统/模糊前馈解耦/自抗扰控制策略/蛇优化算法/可再生能源/过氧比Key words
hydrogen energy/proton exchange membrane fuel cell/air supply system/fuzzy feedforward decoupling/active disturbance rejection control/snake optimization algorithm/renewable energy/control strategy/oxygen excess ratio分类
信息技术与安全科学引用本文复制引用
李晓宁,孙娜,黄阿敏,董海鹰..基于蛇优化算法的PEMFC空气供给系统模糊自抗扰控制[J].综合智慧能源,2025,47(6):57-73,17.基金项目
甘肃省自然科学基金项目(23JRRA1692) Natural Science Foundation of Gansu Province(23JRRA1692) （23JRRA1692）
