燃料电池空气系统的自适应模糊建模与控制  

Adaptive fuzzy modeling and control of fuel cell air system

作　　者：罗刚 王永富[1] 张化锴 Luo Gang;Wang Yongfu;Zhang Huakai(School of Mechanical Engineering and Automation,Northeastern University,Shenyang 110819,China)

机构地区：[1]东北大学机械工程与自动化学院,沈阳110819

出　　处：《仪器仪表学报》2018年第12期245-254,共10页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(51775103)项目资助.

摘　　要：针对质子交换膜燃料电池(PEMFC)的非线性和工作环境复杂性,提高燃料电池的工作效率在理论和实际应用方面显得尤为重要。根据PEMFC过氧比与输出净功率的关系,通过对质子交换膜燃料电池的空气供给系统进行控制,使系统过氧比达到最佳值,保证系统最大输出功率。对PEMFC空气供给系统状态方程进行输入输出线性化,并对线性化过程中零动态问题进行详细研究,确定系统内部动态的稳定性。在系统模型和参数未能被有效辨识的前提下,采用自适应模糊逻辑系统对空气供给系统中未建模动态进行建模,并设计出鲁棒控制器,李雅普诺夫稳定性分析导出自适应参数并证明系统跟踪误差的有界性。在不同电堆温度下进行实验验证,结果验证了该方法的有效性、鲁棒性和自适应性。Due to the nonlinearity and complex operating environment of the proton exchange membrane fuel cell(PEMFC), it is particularly important to improve the working efficiency of the fuel cell in theory and practical application. According to the relationship between the oxygen excess ratio and the output net power of PEMFC, the system oxygen excess ratio reaches the optimal value to ensure the maximum output power of the system through controlling the air supply system of PEMFC. The input-output linearization of the PEMFC state equation is carried out, and the zero dynamics problem in the linearization process is studied in detail to determine the stability of the internal dynamics of the system. Under the premise that the system model and parameters are not effectively identified, adaptive fuzzy logic system is used to modeling the unmodeled dynamics of the air supply system, and a robust controller is designed. The adaptive parameters are derived by Lyapunov stability theory, and the boundedness of the system output error is proved. The experimental results show that the proposed method is effective, robust and adaptive at different stack temperature.

关 键 词：质子交换膜燃料电池 过氧比 自适应模糊逻辑系统 零动态 鲁棒控制器 

分 类 号：TH134[机械工程—机械制造及自动化] TP29[自动化与计算机技术—检测技术与自动化装置]