CASIA OpenIR  > 毕业生  > 博士学位论文
燃料电池控制方法及其应用研究
其他题名Fuel Cell Control Methods and Their Applications
佟世文
学位类型工学博士
导师刘国平
2008-01-16
学位授予单位中国科学院研究生院
学位授予地点中国科学院自动化研究所
学位专业控制理论与控制工程
关键词燃料电池 预测控制 变论域 模糊控制 网络化控制 混合系统 欠驱动系统 Fuel Cell Predictive Control Variable Domain Fuzzy Control Networked Control Hybrid System Under-actuated System
摘要随着人类的可持续发展,人们对能源特别是清洁能源的需求越来越大,氢能作为一种清洁的能源近几年来受到了世界各国的广泛关注。质子交换膜燃料电池作为氢能的利用形式之一,以其清洁、安静、高效和启动温度低等优点成为了科研人员的重点研究方向。经过几十年的努力,形成了不同型式的燃料电池装置,由此也对控制器的设计提出了更高的要求。本文针对中科院自动化所1kw氢空质子交换膜燃料电池的具体装置,提出和研究了一系列控制方法。具体来讲:(1)研究了无负载电流反馈情况下燃料电池的控制方法。先从线性方法出发,提出了基于 SPM的自适应状态反馈预测控制方法。由于燃料电池本质上是一个复杂的非线性时变过程, 为了进一步提高控制性能,又从非线性的方法出发,提出了实时简化变论域的模糊控制方法, 在解决实时控制的同时又实现了精确控制。(2)研究了有负载电流反馈情况下燃料电池的控制方法。首次应用基于SIRMs动态连接的模糊推理模型实现了以一个操作变量(空气质量流量计的给定电压)控制两个被控变量(阴极压力和空气流量)的控制要求,进而又首次应用在线的随机搜索优化方法实现了模型参数的在线优化。(3)研究了由燃料电池和超级电容组成的混合系统的功率调节方法。仿真实现了在负载的不同功率要求下,燃料电池的输出功率和超级电容的输出功率互为补充,以弥补燃料电池电能输出的“软特性”。(4)研究了燃料电池的网络化控制方法。提出了基于线性模型预测的网络化预测模糊控制方法和基于非线性模型预测的网络化预测模糊控制方法。通过模型预测、模糊控制器设计和时延补偿解决了在网络中存在时延和丢包情况下燃料电池的网络化控制问题。总的说来,本文针对质子交换膜燃料电池的本地及网络化控制提出了一系列切实可行的控制方法,对燃料电池和超级电容组成的混合系统的功率调节控制也进行了富有成效的研究。
其他摘要With the sustained development of human being, the requirement of energy, especially clean energy, becomes more and more emergent. Hydrogen energy, as a new clean energy, draws great attention around the world in recent years. The PEM (Proton exchange membrane) fuel cell as one of the applications of hydrogen energy has become a key research area because of its clean, quiet, efficiency and low start temperature, etc. Different kinds of fuel cell units, which elevate the requirement of controller design, have been developed through several years of hard working. This dissertation proposed several advanced control methods for the 1kw hydrogen-air proton exchange membrane fuel cell system developed by the Institute of Automation of the Chinese Academy of Sciences.The main contributions of this dissertation include the following: (1)The control of proton exchange membrane fuel cells has been studied with no current feedback of the load. Considering the linear control method, this dissertation has proposed a singular pencil model based adaptive state feedback predictive control method. Due to the complicated nonlinear time-vary essence of the fuel cell process, as for nonlinear control method, this dissertation has also proposed a real-time simplified variable domain fuzzy control method to further improve the control performance, which can realize both the real-time control and the accurate control at the same time. (2)The control of proton exchange membrane fuel cell has been investigated with current feedback of the load. This dissertation has implemented the fuzzy control based on the dynamically connected SIRMs fuzzy inference model and realized the control of two controlled outputs (i.e., the cathode pressure and air flow) using one manipulated variable (i.e., the set voltage of the air mass flow meter) for the first time. Furthermore, this dissertation has first developed the C-S based on-line random search optimization method to optimize the dynamic importance degree (DID) of the fuzzy logic model.(3)Power regulating method of the fuel cell and the ultra-capacitor hybrid power system has been studied. Combination of the fuel cell and the ultra-capacitor can meet the different power requirements of the load. This has been illustrated by simulation. (4)A networked control method of the fuel cell has been developed. This dissertation has proposed a novel networked predictive fuzzy control method based on a linear or nonlinear predictive model. The phenomenon of time-delay and data loss can be overcome through model prediction, fuzzy controller design and delay compensation. In a word, this dissertation has studied several new, simple and practical control methods for proton exchange membrane fuel cells and made many fruitful attempts and significant progresses for the hybrid power system which consists of fuel cell and ultra-capacitor.
馆藏号XWLW1171
其他标识符200518014628007
语种中文
文献类型学位论文
条目标识符http://ir.ia.ac.cn/handle/173211/6044
专题毕业生_博士学位论文
推荐引用方式
GB/T 7714
佟世文. 燃料电池控制方法及其应用研究[D]. 中国科学院自动化研究所. 中国科学院研究生院,2008.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
CASIA_20051801462800(6507KB) 暂不开放CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[佟世文]的文章
百度学术
百度学术中相似的文章
[佟世文]的文章
必应学术
必应学术中相似的文章
[佟世文]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。