The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

A novel nonlinear model reduction method applied to automotive controller software

På svenska

Author

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.

Publishing year

2009

Language

English

Pages

4587-4592

Publication/Series

2009 American Control Conference, Vols 1-9

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • 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

Research group

  • LCCC

ISBN/ISSN/Other

  • ISSN: 0743-1619