Model based diagnosis of the air path of an automotive diesel engine

被引：78
|
作者：
Nyberg, M [1 ]
Stutte, T
机构：
[1] Linkoping Univ, Dept Elect Engn, SE-58183 Linkoping, Sweden
[2] DaimlerChrysler AG, Res & Technol, D-70546 Stuttgart, Germany
来源：
CONTROL ENGINEERING PRACTICE | 2004年 / 12卷 / 05期
关键词：
diagnosis; fault detection; on-board diagnostics; diesel engine; modeling; hypothesis testing; adaptive observers; adaptive thresholds; extended Kalman filter;
D O I：
10.1016/S0967-0661(03)00120-5
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A model based diagnosis system for the air-path of a turbo-charged diesel engine with EGR is constructed. The faults considered are air mass-flow sensor fault, intake-manifold pressure sensor fault, air-leakage, and the EGR-valve stuck in closed position. A non-linear engine model, with four states, is constructed. The diagnosis system is then constructed in the framework of structured hypothesis tests and by using observers estimating unknown fault-parameters. To handle modeling errors a new method for adaptive thresholds is proposed. The diagnosis, system is successfully evaluated in a real car driving on the road. (C) 2003 Elsever Ltd. All rights reserved.
引用
收藏
页码：513 / 525
页数：13
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