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首页> 外文期刊>Journal of Engineering for Gas Turbines and Power >Fault Management System of LP-EGR Using In-Cylinder Pressure Information in Light-Duty Diesel Engines
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Fault Management System of LP-EGR Using In-Cylinder Pressure Information in Light-Duty Diesel Engines

机译:利用轻型柴油机缸内压力信息的LP-EGR故障管理系统

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摘要

Particulate matters (PM) accumulation through a low-pressure exhaust gas recirculation (LP-EGR) path may hinder to obtain the desired LP-EGR rate and thus causes an increase of nitrogen oxides (NO x ). The degree of lack of the LP-EGR rate should be detected, i.e., an LP-EGR fault, and a remedy to compensate for the lack of LP-EGR rate should be a mandate to suppress NO x emission, i.e., a fault management. In order to accomplish those objectives, this paper proposes an LP-EGR fault management system, which consists of a fault diagnosis algorithm, fault-tolerant control algorithm, and an LP-EGR rate model. The model applies a combustion parameter derived from in-cylinder pressure information to the conventional orifice valve model. Consequently, the LP-EGR rate estimation was improved to the maximum error of 2.38% and root-mean-square-error (RMSE) of 1.34% at various operating conditions even under the fault condition compared to that of the conventional model with the maximum error of 7.46% and RMSE of 5.39%. Using this LP-EGR rate model as a virtual sensor, the fault diagnosis algorithm determines an LP-EGR fault state. Based on the state, the fault-tolerant control determines whether or not to generate the offset of the exhaust throttle valve (ETV) position. This offset combines with the look-up table (LUT)-based feedforward controller to control an LP-EGR rate. As a result of real-time verification of the fault management system in the fault condition, the NO x emission decreased by up to about 15%.
机译:通过低压废气再循环(LP-EGR)路径积聚的颗粒物(PM)可能会阻碍获得所需的LP-EGR率,从而导致氮氧化物(NO x )的增加。应当检测到LP-EGR速率不足的程度,即LP-EGR故障,并且应该采取一种弥补LP-EGR速率不足的补救措施来抑制NO x 排放,即故障管理。为了实现这些目标,本文提出了一种LP-EGR故障管理系统,该系统由故障诊断算法,容错控制算法和LP-EGR速率模型组成。该模型将源自缸内压力信息的燃烧参数应用于常规孔板阀模型。因此,即使在故障条件下,与传统的最大模型相比,LP-EGR速率估计也提高了各种操作条件下的最大误差为2.38%,均方根误差(RMSE)为1.34%。误差为7.46%,RMSE为5.39%。使用此LP-EGR速率模型作为虚拟传感器,故障诊断算法将确定LP-EGR故障状态。基于状态,容错控制确定是否生成排气节气门(ETV)位置的偏移。该偏移量与基于查找表(LUT)的前馈控制器相结合,以控制LP-EGR速率。在故障状态下对故障管理系统进行实时验证的结果是,NO x 排放减少了大约15%。

著录项

  • 来源
    《Journal of Engineering for Gas Turbines and Power 》 |2018年第4期| 042802.1-042802.11| 共11页
  • 作者单位

    Department of Automotive Engineering,Hanyang University,222 Wangsimni-ro, Seongdong-gu,Seoul 04763, South Korea;

    Department of Automotive Engineering,Hanyang University,222 Wangsimni-ro, Seongdong-gu,Seoul 04763, South Korea;

    Department of Mechanicaland Automotive Engineering,Keimyung University,1095 Dalgubeol-daero,Daegu 42601, South Korea;

    Department of Automotive Engineering,Hanyang University,222 Wangsimni-ro, Seongdong-gu,Seoul 04763, South Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Exhaust gas recirculation; Pressure; Cylinders;

    机译:废气再循环;压力;气缸;

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