| 基于RBF优化控制氢燃料发动机点火提前角 |
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| 引用本文： | 杨振中,刘海潮.基于RBF优化控制氢燃料发动机点火提前角[J].车用发动机,2006(3):35-38. |
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| 作者姓名： | 杨振中 刘海潮 |
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| 作者单位： | 1. 华北水利水电学院机械工程系,河南,郑州,450011;浙江大学机械与能源工程学院,浙江,杭州,310027
2. 华北水利水电学院机械工程系,河南,郑州,450011 |
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| 基金项目： | 美国GM(中国)公司资助项目，中国科学院资助项目，河南省科技攻关项目，河南省郑州市科技基金 |
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| 摘 要： | 基于RBF神经网络构建氢(H2)燃料发动机最佳点火提前角优化模型,对点火提前角进行优化控制,改善H2燃料发动机动力性、经济性以及排放性能。试验结果表明,该模型能预测H2燃料发动机最佳点火提前角,并可以大大减轻标定试验工作量。
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| 关 键 词： | 氢内燃机 点火提前角 径向基函数 神经网络 |
| 文章编号： | 1001-2222(2006)03-0035-04 |
| 收稿时间： | 2006-02-15 |
| 修稿时间： | 2006-03-20 |
Optimize Advanced Ignition Angel of Hydrogen-fueled Engines Based on RBF Neutral Network |
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| YANG Zhen-zhong,LIU Hai-chao.Optimize Advanced Ignition Angel of Hydrogen-fueled Engines Based on RBF Neutral Network[J].Vehicle Engine,2006(3):35-38. |
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| Authors: | YANG Zhen-zhong LIU Hai-chao |
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| Institution: | 1. Water Conservancy and Hydroelectronic Power, North China Institute, Zhengzhou 450011, China; 2. College of Mechanical and Energy Engineering, Zhejiang University, Hangzhou 310027, China |
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| Abstract: | Constructs the ignition timing optimization model of the hydrogen-fueled engine based on the RBF neural network.The optimized control to the advanced ignition angel improves the hydrogen-fueled engine power,economy of fuel and characteristic of exhaust gas.The result indicates,the model can accurately forecast the ignition timing of the hydrogen-fueled engine,and may lighten the standard experiment work greatly. |
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| Keywords: | hydrogen internal combustion engine advanced ignition angel radial basis function(RBF) neutral network |
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