TY - GEN
T1 - A switch model approach for uego sensor diagnostics in the presence of asymmetric faults
AU - Jammoussi, Hassene
AU - Franchek, Matthew A.
AU - Grigoriadis, Karolos
AU - Makki, Imad H.
AU - Smith, Stephen B.
AU - Kerns, James M.
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - In this paper a diagnostics approach for the universal exhaust gas oxygen (UEGO) sensor in spark ignition (SI) internal combustion engines is proposed. Due to possible additional lag or delay in the transition of the air-fuel ratio (AFR) from lean to rich or rich to lean, the sensor measurement affects the closed-loop performance and may lead to instability of the feedback system. The paper discusses each of these faults and proposes a universal switch model approach that splits the operation of the sensor into lean and rich separate models to monitor both responses and enable the diagnostics of the UEGO sensor. The approach transforms the SISO system to a two-input single-output system and the estimated parameters of the system will identify the lag and delay in both burn modes to detect, isolate and estimate the symmetric/asymmetric faults. The method is demonstrated on a simulated air fuel (AF) closed loop system regulated by a PI controller together with a Smith predictor for the delay compensation. The method is then applied on experimental data obtained by inducing faults on the sensor.
AB - In this paper a diagnostics approach for the universal exhaust gas oxygen (UEGO) sensor in spark ignition (SI) internal combustion engines is proposed. Due to possible additional lag or delay in the transition of the air-fuel ratio (AFR) from lean to rich or rich to lean, the sensor measurement affects the closed-loop performance and may lead to instability of the feedback system. The paper discusses each of these faults and proposes a universal switch model approach that splits the operation of the sensor into lean and rich separate models to monitor both responses and enable the diagnostics of the UEGO sensor. The approach transforms the SISO system to a two-input single-output system and the estimated parameters of the system will identify the lag and delay in both burn modes to detect, isolate and estimate the symmetric/asymmetric faults. The method is demonstrated on a simulated air fuel (AF) closed loop system regulated by a PI controller together with a Smith predictor for the delay compensation. The method is then applied on experimental data obtained by inducing faults on the sensor.
KW - Air-fuel ratio dynamics
KW - SI engines
KW - System identification
UR - http://www.scopus.com/inward/record.url?scp=80052152636&partnerID=8YFLogxK
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U2 - 10.2316/P.2011.729-100
DO - 10.2316/P.2011.729-100
M3 - Conference contribution
AN - SCOPUS:80052152636
SN - 9780889868724
T3 - Proceedings of the 13th IASTED International Conference on Control and Applications, CA 2011
SP - 160
EP - 164
BT - Proceedings of the 13th IASTED International Conference on Control and Applications, CA 2011
T2 - 13th IASTED International Conference on Control and Applications, CA 2011
Y2 - 1 June 2011 through 3 June 2011
ER -