A model reduction case study: automotive engine air path

Oskar Nilsson, Anders Rantzer, J Chauvin

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-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 languageEnglish
Title of host publication2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages851-856
Number of pages6
ISBN (Print)0-7803-9797-5
DOIs
Publication statusPublished - 2006
Event2006 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 42006 Oct 6

Conference

Conference2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control
Country/TerritoryGermany
CityMunich
Period2006/10/042006/10/06

Subject classification (UKÄ)

  • Control Engineering

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

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