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

Beschreibung

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.

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Erik Schulz

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Systemidentification LPV Engine

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