Control Design Based on FMI: A Diesel Engine Control Case Study
Author
Editor
- Per Tunestål
- Lars Eriksson
Summary, in English
In this paper, it is demonstrated how a Modelica model of a diesel engine can be used for control design. The engine model has multiple inputs and outputs, it is nonlinear, has many parameters, and has a higher order than most control design algorithms are able to handle in a numerically robust way.
It is shown how the features for dynamic design-of-experiments analysis in the FMI Toolbox for MATLAB can be used to analyze the variation in system dynamics across the engine operating range. A gain scheduling of nine multivariable linear-quadratic-gaussian (LQG) controllers, is designed based on linearization and model reduction of the original nonlinear FMU model.
Department/s
- Department of Automatic Control
- Combustion Engines
- The Competence Centre for Combustion Processes
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
Publishing year
2016-06-20
Language
English
Pages
231-238
Publication/Series
IFAC-PapersOnLine
Volume
49
Issue
11
Document type
Conference paper
Publisher
IFAC
Topic
- Control Engineering
Conference name
8th IFAC Symposium Advances in Automotive Control, AAC 2016
Conference date
2016-06-20 - 2016-06-23
Conference place
Sweden
Status
Published
Project
- Diesel HCCI in a Multi-Cylinder Engine
Research group
- LCCC