|本期目录/Table of Contents|

[1]胡春明,等. 航空活塞式发动机瞬态空燃比控制与实验研究[J].燃烧科学与技术,2017,(02):140-146.[doi:DOI 10.11715/rskxjs.R201511008]
 Hu Chunming,Zhong Weijun,et al. Experimental Research of Transient Air-Fuel Ratio Controlof Aviation Piston Engine[J].Journal of Combustion Science and Technology,2017,(02):140-146.[doi:DOI 10.11715/rskxjs.R201511008]
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 航空活塞式发动机瞬态空燃比控制与实验研究()
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《燃烧科学与技术》[ISSN:1006-8740/CN:12-1240/TK]

卷:
期数:
2017年02
页码:
140-146
栏目:
出版日期:
2017-04-15

文章信息/Info

Title:
 Experimental Research of Transient Air-Fuel Ratio Control
of Aviation Piston Engine
作者:
 胡春明1 2仲伟军1刘 娜1胡东宁1王书典1
 1. 天津大学内燃机研究所,天津 300072;2. 天津大学内燃机燃烧学国家重点实验室,天津 300072
Author(s):
 Hu Chunming1 2Zhong Weijun1Liu Na1Hu Dongning1Wang Shudian1
 1. Tianjin Internal Combustion Engine Research Institute,Tianjin University,Tianjin 300072,China;
2. State Key Laboratory of Engines,Tianjin University,Tianjin 300072,China
关键词:
 空燃比控制航空活塞式发动机直喷瞬态工况PID 神经网络
Keywords:
 air-fuel ratio controlaviation piston enginedirect injectiontransient conditionPID neural network
分类号:
TK411.12
DOI:
DOI 10.11715/rskxjs.R201511008
文献标志码:
A
摘要:
 针对航空活塞式直喷发动机瞬态空燃比难以精确控制、动态超调大等问题,采用PID 神经网络控制策略
对发动机瞬态工况空燃比进行控制.PID 神经网络用于瞬态空燃比控制具有易于实现、较强自适应能力等优
点.该策略包含前馈控制和反馈控制,并由前馈控制确定基本喷油量,PID 神经网络作为反馈控制,实现瞬态工
况的燃油补偿.在一台航空活塞式单缸机上进行了发动机瞬态空燃比控制实验,结果表明,瞬态工况下,相比于
PID 控制,PID 神经网络控制下的过量空气系数超调量可以减小25%,左右;节气门开度在5%,~30%,之间以不同
开度变化速率变化时,PID神经网络也能实现良好的控制效果.
Abstract:
 The control of transient air-fuel ratio of aviation piston engine has some problems such as difficulty in
precise control and large dynamic overshoot.In order to control transient air-fuel ratio of engine accurately,the
control strategy based on the PID neural network is adopted.The PID neural network has the advantages of easy
implementation and strong adaptive ability while used in transient air-fuel ratio control.The control strategy includes
feed-forward control and feedback control.The feed-forward control determines the basic fuel injection
quantity,and the PID neural network is used as the feedback control which can realize fuel compensation under
transient conditions.The transient air-fuel ratio control experiments were carried out on a direct injection aviation
piston engine.The experimental results show that the excess air coefficient overshoot controlled by the PID neural
network controller decreases by 25%, compared with that by the PID controller.The PID neural network can also
achieve good control effect at different change rate of throttle valve opening between 5%, and 30%,.

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备注/Memo

备注/Memo:
 收稿日期:2016-02-29.
基金项目:国家自然科学基金资助项目(51476112);天津市科技计划资助项目(13ZCZDGX04400).
作者简介:胡春明(1967— ),男,博士,研究员.
通讯作者:胡春明,cmhu@tju.edu.cn.
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