Transient Air-Fuel Ratio Control in a CNG Engine Using Fuzzy Neural Networks

被引：2
|
作者：
李国岫
张欣
机构：
[1] Beijing 100044
[2] Beijing Jiaotong University
[3] China
[4] Electronic and Control Engineering
[5] School of Mechanical
来源：
Journal of Beijing Institute of Technology(English Edition) | 2005年 / 01期
关键词：
air-fuel (A/F) ratio; fuzzy neural network; hybrid controller;
D O I：
10.15918/j.jbit1004-0579.2005.01.024
中图分类号：
TK43 [气体燃料内燃机];
学科分类号：
摘要：
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.
引用
收藏
页码：100 / 103
页数：4
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