Loading [a11y]/accessibility-menu.js
Engine mass airflow sensor fault detection via an adaptive oxygen fraction observer | IEEE Conference Publication | IEEE Xplore

Engine mass airflow sensor fault detection via an adaptive oxygen fraction observer


Abstract:

In this paper, an adaptive observer, which can simultaneously estimate the oxygen fraction states and unknown intake mass air flow rate, is designed for a Diesel engine e...Show More

Abstract:

In this paper, an adaptive observer, which can simultaneously estimate the oxygen fraction states and unknown intake mass air flow rate, is designed for a Diesel engine equipped with a dual-loop exhaust gas recirculation (EGR) system. A previously developed dynamic model and oxygen fraction observer for the air-path loop of the Diesel engine are introduced as the foundation of this work. As the measurement accuracy of the mass airflow (MAF) sensor may degrade due to aging phenomenon, the impact of MAF signal error on the performance of the previously developed Luenberger-like oxygen fraction observer is investigated through experimental results. To detect the measurement error and to correct the estimation error, the detailed procedure of developing the adaptive observer is presented. The observer's performance is validated against the experimental data.
Date of Conference: 04-06 June 2014
Date Added to IEEE Xplore: 21 July 2014
ISBN Information:

ISSN Information:

Conference Location: Portland, OR, USA

References

References is not available for this document.