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Model-based controller design methods for heating systems

Citation Link: https://doi.org/10.15480/882.1324
Publikationstyp
Thesis
Thesis Type
Doctoral Thesis
Publikationsdatum
2016-06-14
Sprache
English
Author
Pangalos, Georg 
Advisor
Lichtenberg, Gerwald 
Referee
Werner, Herbert 
Henze, Gregor P. 
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2015-07-17
Institut
Regelungstechnik E-14 
Technische Bildung und Hochschuldidaktik G-3 
DOI
10.15480/882.1324
TORE-URI
http://tubdok.tub.tuhh.de/handle/11420/1327
Lizenz
http://rightsstatements.org/vocab/InC/1.0/
Publisher Link
www.epubli.de
Publisher
Neopubli GmbH, Berlin
Dynamical models of heating systems are derived taking into account the multiplication of temperature difference and flow rate, arising from the heat power balances. Multilinear time-invariant (MTI) models in tensor representation are shown to be adequate for heating systems. Tensor decomposition techniques are applied for rank reduction. A method to derive multilinear approximations of nonlinear models is presented. The multilinear property is used for the controller design. Further model-based controller designs for different heating system examples using nonlinear and switched affine models are discussed and evaluated.
Schlagworte
Controller design, Heating systems, Tensor models, Hybrid models, Multilinear models
DDC Class
620: Ingenieurwissenschaften
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