Real time adaptive model based fdie of diesel engine air handling system

Ankit Kukreja, Matthew Franchek, Karolos Grigoriadis, Rafik Borji, Daniel J. Smith, Aniket Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Developed is a model based fault detection, isolation and estimation study of a diesel engine air handling system. Diagnostic is based on an air path model, wherein the coefficients of a healthy system model are compared with that of adapted online coefficients during steady state operating conditions. Fault estimation is realized by analyzing the residual between the adapted coefficient and those of the original (healthy) model. This approach is shown to be robust to modeling errors, sensor noise and process variability. The proposed algorithm is experimentally validated on the intake air path of a Cummins 5.9 L diesel engine and is shown to effectively perform intake leakage FDIE.

Original languageEnglish (US)
Title of host publicationASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012
Pages697-706
Number of pages10
Volume1
DOIs
StatePublished - Dec 1 2012
EventASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012 - Fort Lauderdale, FL, United States
Duration: Oct 17 2012Oct 19 2012

Other

OtherASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012
CountryUnited States
CityFort Lauderdale, FL
Period10/17/1210/19/12

Keywords

  • Air Intake Manifold
  • Diagnostics
  • Diesel Engine
  • Fault Detection

ASJC Scopus subject areas

  • Control and Systems Engineering

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