DocumentCode :
3737550
Title :
Diesel engine NOx emission modeling with airpath input channels
Author :
Talha Boz;Mustafa Unel;Volkan Aran. Metin Yilmaz;Cetin Gurel;Caner Bayburtlu;Kerem Koprubasi
Author_Institution :
Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul. Turkey
fYear :
2015
Firstpage :
3382
Lastpage :
3387
Abstract :
Stringent international regulations in terms of emissions necessitate more efficient transient calibration procedures for diesel engines which in turn implies utilization of dynamic models of the combustion process. In this paper, a novel input design framework in terms of multi-sweep chirp signals is developed and airpath input channels are excited by designed chirp signals. Linear and nonlinear system identification methods are utilized to model NOx emissions with airpath input channels. Experimental results show that while linear identification techniques provide poor performance in terms of training and validation fits, nonlinear models achieve remarkable performance in training and validation fits.
Keywords :
"Autoregressive processes","Mathematical model","Diesel engines","Atmospheric modeling","Chirp","Neural networks","Fuels"
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE
Type :
conf
DOI :
10.1109/IECON.2015.7392622
Filename :
7392622
Link To Document :
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