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LPV system identification and order reduction with application to turbocharged SI engines
Citation Link: https://doi.org/10.15480/882.4302
Publikationstyp
Doctoral Thesis
Date Issued
2022
Sprache
English
Author(s)
Advisor
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2021-05-14
Institut
TORE-DOI
Citation
Dr. Hut 978-3-8439-5051-0: (2022)
Publisher Link
Publisher
Dr. Hut
The basis for the model-based design of linear parameter-varying (LPV) controllers is a model of the controlled system. However, models that approximate the system behavior well are often missing in industrial applications. In this thesis, methods for the identification and order reduction of discrete-time LPV models are presented. They are applied to measurements from a real system, the air path of a turbocharged gasoline engine, and show improved computational efficiency and/or provide models of higher accuracy compared to existing methods. Furthermore, the resulting LPV models are suitable for established control design tools.
Subjects
Linear parameter-varying (LPV) systems
System identification
Order reduction
SI Engine
DDC Class
004: Informatik
600: Technik
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Schulz_22_LPVSystemIdentificationAndOrderReduction.pdf
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