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基于Elman神经网络的车用汽油机过渡工况空燃比辨识
引用本文:侯志祥,申群太,吴义虎,邓华,袁翔. 基于Elman神经网络的车用汽油机过渡工况空燃比辨识[J]. 中国公路学报, 2006, 19(6): 113-117
作者姓名:侯志祥  申群太  吴义虎  邓华  袁翔
作者单位:1. 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
2. 中南大学,信息科学与工程学院,湖南,长沙,410083
3. 长沙理工大学,汽车与机械工程学院,湖南,长沙,410076
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
文章编号:1001-7372(2006)06-0113-05
收稿时间:2006-03-27
修稿时间:2006-03-27

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. Air Fuel Ratio Identification of Gasoline Engine During Transient Conditions Based on Elman Neural Network[J]. China Journal of Highway and Transport, 2006, 19(6): 113-117
Authors:HOU Zhi-xiang  SHEN Qun-tai  WU Yi-hu  DENG Hua  YUAN Xiang
Affiliation:1. School of Information Science and Engineering, Central South University, Changsha 410083, H unan, China; 2. School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410076, Hunan, China
Abstract:
Using HL495Q engine as research object,mathematical model of air fuel ratio of gasoline engine was analyzed and a method of indentifying air fuel ratio of gasoline engine during transient conditions based on Elman neural network was provided.Experiment results show that the air fuel ratio model of gasoline engine based on Elman neural network has simple structure and can accurately approximate the actual air fuel ratio transient process and average relative error is less than 1%,and is prior to the air fuel ratio model based on feedforward BP neural network.The air fuel ratio model based on Elman neural network can improve air fuel ratio control accuracy and emission performance of gasoline engine during transient conditions.
Keywords:automotive engineering  gasoline engine  Elman neural network  air fuel ratio  transient condition  identification
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