A model reduction case study: automotive engine air path

Oskar Nilsson; Anders Rantzer; J Chauvin

doi:10.1109/CCA.2006.286062

A model reduction case study: automotive engine air path

Oskar Nilsson, Anders Rantzer, J Chauvin

Department of Automatic Control

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

Low complexity plant models are essential for model based control design. Often a detailed high order model is available and simplification to a low order approximative model is needed. This paper presents a case study of two model reduction methodologies applied on the automotive engine air path. The first methodology is based on balanced truncation of models obtained by linearization around equilibria and trajectories. Under appropriate assumptions, this technique yields strict bounds on the approximation error. The second is a heuristic methodology, based on intuition commonly used when modeling engine dynamics. Although it is successfully used in practice, the approximation error is seldom known. The two methodologies are used to derive simple models for the required fuel charge in an SI engine, given engine speed and throttle positions. Performance, complexity and similarities of the two resulting low order models are compared

Original language	English
Title of host publication	2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	851-856
Number of pages	6
ISBN (Print)	0-7803-9797-5
DOIs	https://doi.org/10.1109/CCA.2006.286062
Publication status	Published - 2006
Event	2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control - Munich, Germany Duration: 2006 Oct 4 → 2006 Oct 6

Conference

Conference	2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control
Country/Territory	Germany
City	Munich
Period	2006/10/04 → 2006/10/06

Subject classification (UKÄ)

Control Engineering

Free keywords

throttle position
engine dynamics
intuition
heuristic methodology
approximation error
linearization
model based control design
model reduction
automotive engine air path
engine speed
spark ignition engine
fuel charge

Access to Document

10.1109/CCA.2006.286062

Cite this

Nilsson, O., Rantzer, A., & Chauvin, J. (2006). A model reduction case study: automotive engine air path. In 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control (pp. 851-856). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCA.2006.286062

@inproceedings{45ea212cba994497bf0ffee87588df62,

title = "A model reduction case study: automotive engine air path",

abstract = "Low complexity plant models are essential for model based control design. Often a detailed high order model is available and simplification to a low order approximative model is needed. This paper presents a case study of two model reduction methodologies applied on the automotive engine air path. The first methodology is based on balanced truncation of models obtained by linearization around equilibria and trajectories. Under appropriate assumptions, this technique yields strict bounds on the approximation error. The second is a heuristic methodology, based on intuition commonly used when modeling engine dynamics. Although it is successfully used in practice, the approximation error is seldom known. The two methodologies are used to derive simple models for the required fuel charge in an SI engine, given engine speed and throttle positions. Performance, complexity and similarities of the two resulting low order models are compared",

keywords = "throttle position, engine dynamics, intuition, heuristic methodology, approximation error, linearization, model based control design, model reduction, automotive engine air path, engine speed, spark ignition engine, fuel charge",

author = "Oskar Nilsson and Anders Rantzer and J Chauvin",

year = "2006",

doi = "10.1109/CCA.2006.286062",

language = "English",

isbn = "0-7803-9797-5",

pages = "851--856",

booktitle = "2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control ; Conference date: 04-10-2006 Through 06-10-2006",

}

Nilsson, O, Rantzer, A & Chauvin, J 2006, A model reduction case study: automotive engine air path. in 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control. IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 851-856, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, Munich, Germany, 2006/10/04. https://doi.org/10.1109/CCA.2006.286062

A model reduction case study: automotive engine air path. / Nilsson, Oskar; Rantzer, Anders; Chauvin, J.
2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control. IEEE - Institute of Electrical and Electronics Engineers Inc., 2006. p. 851-856.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - A model reduction case study: automotive engine air path

AU - Nilsson, Oskar

AU - Rantzer, Anders

AU - Chauvin, J

PY - 2006

Y1 - 2006

N2 - Low complexity plant models are essential for model based control design. Often a detailed high order model is available and simplification to a low order approximative model is needed. This paper presents a case study of two model reduction methodologies applied on the automotive engine air path. The first methodology is based on balanced truncation of models obtained by linearization around equilibria and trajectories. Under appropriate assumptions, this technique yields strict bounds on the approximation error. The second is a heuristic methodology, based on intuition commonly used when modeling engine dynamics. Although it is successfully used in practice, the approximation error is seldom known. The two methodologies are used to derive simple models for the required fuel charge in an SI engine, given engine speed and throttle positions. Performance, complexity and similarities of the two resulting low order models are compared

AB - Low complexity plant models are essential for model based control design. Often a detailed high order model is available and simplification to a low order approximative model is needed. This paper presents a case study of two model reduction methodologies applied on the automotive engine air path. The first methodology is based on balanced truncation of models obtained by linearization around equilibria and trajectories. Under appropriate assumptions, this technique yields strict bounds on the approximation error. The second is a heuristic methodology, based on intuition commonly used when modeling engine dynamics. Although it is successfully used in practice, the approximation error is seldom known. The two methodologies are used to derive simple models for the required fuel charge in an SI engine, given engine speed and throttle positions. Performance, complexity and similarities of the two resulting low order models are compared

KW - throttle position

KW - engine dynamics

KW - intuition

KW - heuristic methodology

KW - approximation error

KW - linearization

KW - model based control design

KW - model reduction

KW - automotive engine air path

KW - engine speed

KW - spark ignition engine

KW - fuel charge

U2 - 10.1109/CCA.2006.286062

DO - 10.1109/CCA.2006.286062

M3 - Paper in conference proceeding

SN - 0-7803-9797-5

SP - 851

EP - 856

BT - 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control

Y2 - 4 October 2006 through 6 October 2006

ER -

Nilsson O, Rantzer A, Chauvin J. A model reduction case study: automotive engine air path. In 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control. IEEE - Institute of Electrical and Electronics Engineers Inc. 2006. p. 851-856 doi: 10.1109/CCA.2006.286062

A model reduction case study: automotive engine air path

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Subject classification (UKÄ)

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