Fault Diagnosis of Electronic Throttle System Using Parameter Estimation

Moussa Hamadache, Dongik Lee

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

Abstract

The use of electronics, intelligent sensors/actuators and microprocessor-based control technology enables online real-time fault detection and diagnosis (FDD) of automobiles. In this paper, a FDD method for electronic throttle system is proposed. The proposed FDD method is based on parameter estimation in closed-loop and a nonlinear model of the electronic throttle system. The nonlinear mathematical model of the electronic throttle system is identified in closed-loop, and then the parameter estimation technique is applied to the closed-loop nonlinear system model for the detection and isolation of faults. The simulation results are presented to investigate the performance and effectiveness of the proposed method.
Original languageEnglish
Title of host publication한국자동차공학회 춘계학술대회
Publication statusPublished - May 2011

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