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基于模糊神经网络的氢燃料汽车发动机最优控制模型
引用本文:杨振中,李径定,严大考.基于模糊神经网络的氢燃料汽车发动机最优控制模型[J].汽车工程,2003,25(5):444-446,450.
作者姓名:杨振中  李径定  严大考
作者单位:1. 浙江大学,杭州,310027
2. 华北水利水电学院,郑州,450045
基金项目:国家自然科学基金 (594760 3 0 ),中国博士后科学基金 (2 0 0 2 0 3 2 2 3 0 ),河南省自然科学基金 (0 3 110 50 90 0 )资助
摘    要:在试验研究的基础上,提出了氢发动机的优化控制策略,建立以点火提前角、喷氢提前角和喷氢量为控制变量,分别以动力性、经济性为性能指标泛函,以模糊神经网络为求解工具的最优控制模型。

关 键 词:模糊神经网络  氢燃料发动机  汽车  最优控制模型

The Optimal Control Model of Hydrogen Fueled Engines Based on Fuzzy Neural Network
Yang Zhenzhong & Li Jingding Zhejiang University,Hangzhou Yan Dakao North China Institute of Water Conservancy and Hydroelectric Power,Zhengzhou.The Optimal Control Model of Hydrogen Fueled Engines Based on Fuzzy Neural Network[J].Automotive Engineering,2003,25(5):444-446,450.
Authors:Yang Zhenzhong & Li Jingding Zhejiang University  Hangzhou Yan Dakao North China Institute of Water Conservancy and Hydroelectric Power  Zhengzhou
Institution:Yang Zhenzhong & Li Jingding Zhejiang University,Hangzhou 310027 Yan Dakao North China Institute of Water Conservancy and Hydroelectric Power,Zhengzhou 45 0045
Abstract:In this paper, based on the experiments, the strategy of optimal con trol on hydrogen fueled engine is put forward. Moreover, an optimal control mode l is set up, in which ignition timing, injection timing and injection duration a re selected as control variables, and output power and specific fuel consumption are chosen as performance index functions with a fuzzy neural network system be ing adopted for calculating the optimal control laws.
Keywords:Hydrogen fueled engine  Optimal control model  Fuzzy neural network
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