期刊
出版社
ASME
DOI: 10.1115/1.4026131
关键词
diesel engine; fault detection and isolation; sliding mode observer; exhaust manifold pressure estimation; EGR; VGT
资金
- BK21 plus program under the Ministry of Education, South Korea [22A20130000045]
- National Research Foundation of Korea (NRF)
- Korea government (MEST) [2011-0017495]
- Industrial Strategy Technology Development Program of Ministry of Knowledge Economy [10039673]
In this paper, we propose a sliding mode observer based fault diagnosis algorithm for diesel engines with exhaust gas recirculation (EGR) and variable geometry turbocharger (VGT) systems. The nonlinear sliding mode observer is proposed for precise states estimation of air system in diesel engines. Based on the estimation results of the observer and the limited sensor information in mass-produced engines, a residual generation model is derived. A modified cumulative summation algorithm is applied to the residual generation model for robust fault detection and isolation of the EGR and VGT systems. The proposed observer based fault diagnosis algorithm is implemented on a real-time embedded system, and the bypass function of an engine management system (EMS) is applied to generate multiple types of fault conditions in the systems. As a result of this study, estimation performance of the proposed observer is validated and successful fault diagnosis of the EGR and VGT systems is demonstrated through engine experiments.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据