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aktualisiert am 19. Mai 2024

ISBN 9783843950510

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978-3-8439-5051-0, Reihe Regelungstechnik

Erik Schulz
LPV System Identification and Order Reduction with Application to Turbocharged SI Engines

163 Seiten, Dissertation Technische Universität Hamburg (2021), Softcover, A5

Zusammenfassung / Abstract

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.