【作者】 汪依宁； 夏泽韬； 马龙华； 常方乐；

【Author】 WANG Yining;XIA Zetao;MA Longhua;Chang Fangle;Polytechnic Institute,Zhejiang University;College of Control Science and Engineering,Zhejiang University;Ningbo Research Institute,Zhejiang University;NingboTech University;

【机构】 浙江大学工程师学院； 浙江大学控制科学与工程学院； 浙江大学宁波研究院； 浙大宁波理工学院；

【摘要】 质子交换膜燃料电池(PEMFC)空气供应系统是典型的复杂强非线性系统,如缺乏有效的控制,系统将面临频繁且快速的负载突变问题.本文通过分析总结三种PEMFC空气供应系统建模方法(机理模型、数据模型和混合模型),基于PEMFC空气供应系统的结构和工作原理,概述了模糊控制、预测控制、神经网络控制和非线性控制在其建模中的应用现状以及国内外研究成果,并提出了结合多种智能控制方法的复合控制策略应用于PEMFC空气供应系统的研究前景。更多还原

【Abstract】 The proton exchange membrane fuel cell(PEMFC) air supply system is a typical complex nonlinear system. It faces the problem of frequent and rapid load change when effective control is missing. This paper analyzes three modeling methods(mechanism model, data model, and hybrid model) of PEMFC air supply system. Based on the system structure and working principle, the current applications were summarized with its modeling theory and research achievements, which include fuzzy control, predictive control, neural network control, and nonlinear control. Meanwhile, it is concluded here that hybrid control strategy combined with multiple intelligent control methods is an ongoing trend in PEMFC air supply system control.更多还原