A linear approach with u-analysis control adaptation for a complete-model diesel-engine diagnosis

Chady Nohra, Hassan Noura, Rafic Younes

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

3 Citations (Scopus)

Abstract

This paper proposes an innovative fault-diagnosis system for a turbocharged diesel engine with variable-geometry turbocharger control. Numerous and diversified actuator faults are identified and analyzed such as air-leakage in the admission collector, compressor malfunctioning, intake-valves fault, intercooler fault, deterioration in the turbine-compressor coupling, defect in the variable geometry of the turbine. Furthermore, a complete non-linear engine model with four state variables is adopted. The proposed strategy consists in developing Fault Detection and Estimation algorithm (FDE) based on the theory of μ. analysis control, operated on a linearization LTI model of the diesel, permits a fault detection and estimation while attenuating the effect of uncertainties, disturbances and noise. Simulations with LTI Diesel model in the presence of noise and uncertainties were carried out which demonstrated the effectiveness of the proposed algorithm. Moreover, the robustness properties of the used H-infinity/μ. FDE filters exhibited significant rejection of disturbances and noise-effects attenuation as well as robustness against uncertainties which make the proposed strategy adequately close to the conditions of the real physical system.

Original languageEnglish
Title of host publication2009 Chinese Control and Decision Conference, CCDC 2009
Pages5415-5420
Number of pages6
DOIs
Publication statusPublished - 2009
Event2009 Chinese Control and Decision Conference, CCDC 2009 - Guilin, China
Duration: Jun 17 2009Jun 19 2009

Publication series

Name2009 Chinese Control and Decision Conference, CCDC 2009

Other

Other2009 Chinese Control and Decision Conference, CCDC 2009
Country/TerritoryChina
CityGuilin
Period6/17/096/19/09

Keywords

  • Diagnosis
  • Diesel engine
  • Fault detection and estimation (FDE)
  • H /μ control
  • Structured singular value

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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