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中国公路学报
CHINA JOURNAL OF HIGHWAY AND TRANSPORT
2006 Vol.19 No.6 P.113-117

数字化期刊

基于Elman神经网络的车用汽油机过渡工况空燃比辨识

侯志祥  申群太  吴义虎  邓华  袁翔 

摘 要:以HL495Q型电喷汽油机为研究对象,分析了汽油机空燃比的数学模型,提出了一种基于Elman神经网络的过渡工况空燃比辨识方法.试验结果表明,Elman神经网络空燃比模型具有简单的网络结构,能高精度地逼近车用汽油机空燃比的实际动态过程,模型的平均相对误差小于1%,优于前馈BP神经网络模型的辨识结果.建立的Elman神经网络空燃比模型能改善过渡工况空燃比控制精度,提高排放性能.
关键词:汽车工程;汽油机;E1man神经网络;空燃比;过渡工况;辨识
分类号:U464.171  文献标识码:A

文章编号:1001-7372(2006)06-0113-05

Air Fuel Ratio Identification of Gasoline Engine During Transient Conditions Based on Elman Neural Network

HOU Zhi-xiang  SHEN Qun-tai  WU Yi-hu  DENG Hua  YUAN Xiang 

基金项目:国家自然科学基金项目(50276005)
作者简介:侯志祥(1971-),男,湖南汉寿人,长沙理工大学副教授,中南大学工学博士研究生,E-mail:houzhixiang2008@163.com.
作者单位:侯志祥(中南大学,信息科学与工程学院,湖南,长沙,410083;长沙理工大学,汽车与机械工程学院,湖南,长沙,410076) 
     申群太(中南大学,信息科学与工程学院,湖南,长沙,410083) 
     吴义虎(长沙理工大学,汽车与机械工程学院,湖南,长沙,410076) 
     邓华(长沙理工大学,汽车与机械工程学院,湖南,长沙,410076) 
     袁翔(长沙理工大学,汽车与机械工程学院,湖南,长沙,410076) 

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收稿日期:2006年3月27日

出版日期:2006年11月30日

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