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| 基于RBFNN与CMGA的催化转化器劣化预测 | |
| 引用本文： | 胡明江,王忠,魏长河,祁利巧,郑国兵.基于RBFNN与CMGA的催化转化器劣化预测[J].内燃机工程,2009,30(2). |
| 作者姓名： | 胡明江 王忠 魏长河 祁利巧 郑国兵 |
| 作者单位： | 1. 河南城建学院,平顶山,467044;江苏大学,汽车与交通工程学院,镇江,212013 2. 江苏大学,汽车与交通工程学院,镇江,212013 3. 河南城建学院,平顶山,467044 |
| 基金项目： | 国家自然科学基金，河南省教育厅自然科学研究计划项目，江苏省青蓝工程资助项目 |
| 摘 要： | 应用径向基函数网络(RBFNN)和压缩映射遗传算法(CMGA)的融合理论,提出了车用催化转化器劣化的在线预测策略.利用催化转化器劣化试验数据作为RBFNN的输入,影响催化转化器劣化的性能参数作为RBFNN的输出,进行了车用催化转化器劣化的模糊预测.利用RBF-CMGA融合预测策略,进行了车用催化转化器的空燃比特性、起燃比特性的劣化试验.结果表明: CO、HC和NOx的劣化系数分别为1.27、1.48、1.03,验证了该融合预测策略具有较好的分辨率,可用于车用催化器在线劣化预测. |
| 关 键 词： | 内燃机 催化转化器 劣化预测 转化效率 |
Aging Prediction for Catalytic Converter Based on RBFNN and CMGA |
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| HU Ming-jiang,WANG Zhong,WEI Chang-he,QI Li-qiao,ZHENG Guo-bing.Aging Prediction for Catalytic Converter Based on RBFNN and CMGA[J].Chinese Internal Combustion Engine Engineering,2009,30(2). | |
| Authors: | HU Ming-jiang WANG Zhong WEI Chang-he QI Li-qiao ZHENG Guo-bing |
| Affiliation: | 1.Henan University of Urban Construction;Pingdingshan 467044;China;2.School of Automobile and Traffic Engineering;Jiangsu University;Zhenjiang 212013;China |
| Abstract: | Based on the synergetic theory of the radial basal function neural network(RBFNN) and the contractive mapping genetic arithmetic(CMGA),an on-line forecast strategy for aging prediction of catalytic converter was proposed.The performance datas of catalytic converter were obtained by the aging test of the catalytic converter,the sampling datas were used as the inputs of the RBFNN,and the aging parameters of the catalytic converter were used as the outputs of the RBFNN,and the forecast strategy of aging predic... |
| Keywords: | RBFNN CMGA |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |