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A novel nonlinear model reduction method applied to automotive controller software

In English

Författare

Summary, in English

The automotive industry is experiencing tightening emission legislations together with high demands on performance and driveability. As a counteraction, controller software tends to become more and more complex. Intricate controller software has several downsides, the large number of controller parameters yields an exhaustive calibration task, often performed through costly experiments. In addition, to guarantee reliability, validation and verification analysis is performed on the controller in combination with the engine. This task would also greatly benefit from a less complex controller structure. Here a novel model reduction method of nonlinear discrete-time systems is introduced and applied to an engine controller used in current production cars. The result is a nonlinear piece-wise affine system with improved simulation speed.

Publiceringsår

2009

Språk

Engelska

Sidor

4587-4592

Publikation/Tidskrift/Serie

2009 American Control Conference, Vols 1-9

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Control Engineering

Conference name

American Control Conference 2009

Conference date

2009-06-10 - 2009-06-12

Conference place

St Louis, MO, United States

Status

Published

Forskningsgrupp

  • LCCC

ISBN/ISSN/Övrigt

  • ISSN: 0743-1619