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Transient Air-Fuel Ratio Control in a CNG Engine Using Fuzzy Neural Networks
作者姓名:李国岫  张欣
作者单位:SchoolofMechanical,ElectronicandControlEngineering,BeijingJiaotongUniversity,Beijing100044,China
摘    要:The fuzzy neural networks has been used as means of precisely controlling the air-fuel ratio of a leanburn compressed natural gas (CNG) engine. A control algorithm, without based on engine model, has been utilized to construct a feedforward/feedback control scheme to regulate the air-fuel ratio. Using fuzzy neural networks, a fuzzy neural hybrid controller is obtained based on PI controller. The new controller, which can adjust parameters online, has been tested in transient air-fuel ratio control of a CNG engine.

关 键 词:内燃机  气体燃料  压缩天然气  CNG  模糊神经网络
收稿时间:2004/8/31 0:00:00

Transient Air-Fuel Ratio Control in a CNG Engine Using Fuzzy Neural Networks
LI Guo-xiu and ZHANG Xin.Transient Air-Fuel Ratio Control in a CNG Engine Using Fuzzy Neural Networks[J].Journal of Beijing Institute of Technology,2005,14(1):100-103.
Authors:LI Guo-xiu and ZHANG Xin
Affiliation:School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
Abstract:The fuzzy neural networks has been used as means of precisely controlling the air-fuel ratio of a lean-burn compressed natural gas (CNG) engine. A control algorithm, without based on engine model, has been utilized to construct a feedforward/feedback control scheme to regulate the air-fuel ratio. Using fuzzy neural networks, a fuzzy neural hybrid controller is obtained based on PI controller. The new controller, which can adjust parameters online, has been tested in transient air-fuel ratio control of a CNG engine.
Keywords:air-fuel (A/F) ratio  fuzzy neural network  hybrid controller
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