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Data driven engine model identification and real-time adaptation | IEEE Conference Publication | IEEE Xplore

Data driven engine model identification and real-time adaptation


Abstract:

New model-based engine identification and adaptive control algorithms are introduced. In a first attempt to reduce the development time, control-oriented models are emplo...Show More

Abstract:

New model-based engine identification and adaptive control algorithms are introduced. In a first attempt to reduce the development time, control-oriented models are employed to represent engine processes. Model parameters are automatically identified for nominal engine operating conditions. To reduce model temperature sensitivity, such as during cold conditions, a scheme for real-time fast adaptation of model parameters is proposed. To maintain a high quality of control under all operating conditions, slow adaptation of model parameters is used to counteract the effects of engine-to-engine variations and at the same time to compensate for the effect of component aging and degradation. Experimental results for the implementation of the control algorithm performance in a vehicle with a V8 engine are presented and discussed.
Date of Conference: 29 June 2011 - 01 July 2011
Date Added to IEEE Xplore: 18 August 2011
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ISSN Information:

Conference Location: San Francisco, CA, USA

References

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