Model reduction of automotive engines using perturbation theory

Sharma, R., Nesic, D. and Manzie, C. (2009). Model reduction of automotive engines using perturbation theory. In: Proceedings of the IEEE Conference on Decision and Control. Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, Shangai, China, (6602-6607). 16-18 December 2009. doi:10.1109/CDC.2009.5400086


Author Sharma, R.
Nesic, D.
Manzie, C.
Title of paper Model reduction of automotive engines using perturbation theory
Conference name Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference
Conference location Shangai, China
Conference dates 16-18 December 2009
Proceedings title Proceedings of the IEEE Conference on Decision and Control   Check publisher's open access policy
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2009
Sub-type Fully published paper
DOI 10.1109/CDC.2009.5400086
ISBN 9781424438716
ISSN 0191-2216
Start page 6602
End page 6607
Total pages 6
Language eng
Abstract/Summary In this paper, a new constructive and versatile procedure to systematically reduce the order of control oriented engine models is presented. The technique is governed by the identification of time scale separation within the dynamics of various engine state variables and hence makes extensive use of the perturbation theory. On the basis of the dynamic characteristics and the geometry of engines, two methods for model reduction are proposed. Method 1 involves collective use of the regular and singular perturbation theories to eliminate temperature dynamics and approximate them with their quasi-steady state values, while Method 2 deals with the elimination of fast pressures. The result is a library of engine models which are associated with each other on a sound theoretical basis and simultaneously allow sufficient flexibility in terms of the reduced order modeling of a variety of engines. Different assumptions under which this model reduction is justified are presented and their implications are discussed.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in Thomson Reuters Web of Science Article
Scopus Citation Count Cited 1 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Mon, 09 Jan 2012, 14:13:08 EST by Rahul Sharma on behalf of School of Information Technol and Elec Engineering