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Identification of low-complexity LPV input-output models for control of a turbocharged combustion engine
Publikationstyp
Book Part
Date Issued
2012
Sprache
English
Institut
Start Page
445
End Page
460
Citation
Control of linear parameter varying systems with applications / Javad Mohammadpour; Carsten W. Scherer ed.. - New York, 2012. - Seite 445-460
Publisher DOI
Scopus ID
Publisher
Springer
Complexity issues related to experimentally identified LPV models are addressed, in particular the trade-off between model accuracy and number of scheduling parameters. For this purpose, an existing identification algorithm for LPV input-output models is combined with a parameter reduction technique based on principal component analysis. The approach is illustrated with experimental results on control of a turbocharged combustion engine. A low-complexity LPV input-output model is identified and validated. After transforming this model into state-space form-taking dynamic dependence on scheduling parameters into account-an LPV gain-scheduling controller is designed and assessed in closed-loop simulation with a validated nonlinear model.
DDC Class
600: Technik
620: Ingenieurwissenschaften