Control-oriented model reduction for a class of hyperbolic systems with application to managed pressure drilling

T.C.P.F. Leenen, S. Naderi Naderilordejani, B. Besselink, W.H.A. Schilders, N. van de Wouw

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper presents a model reduction approach for systems of hyperbolic partial differential equations (PDEs) with nonlinear boundary conditions. These systems can be decomposed into a feedback interconnection of a linear hyperbolic subsystem and a static nonlinear mapping. This structure motivates us to reduce the overall model complexity by only reducing the linear subsystem (the PDE part). We show that the linear PDE subsystem can effectively be approximated by a cascaded structure of systems of continuous time difference equations (CTDEs) and ordinary differential equations (ODEs), where the CTDE captures the infinite-dimensional nature of the PDE model. These systems are constructed by adapting an interpolation method based on frequency-domain data. Models in the form of hyperbolic PDEs with nonlinear boundary conditions are for example encountered in managed pressure drilling (MPD). The proposed technique is verified by application to such an MPD model.

Original languageEnglish
Pages (from-to)7698-7703
Number of pages6
JournalIFAC-PapersOnLine
Volume53
Issue number2
DOIs
Publication statusPublished - 2020
Event21st World Congress of the International Federation of Aufomatic Control (IFAC 2020 World Congress) - Berlin, Germany
Duration: 12 Jul 202017 Jul 2020
Conference number: 21
https://www.ifac2020.org/

Bibliographical note

Funding Information:
This research has been carried out in the HYDRA project, which has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 675731.

Funding

This research has been carried out in the HYDRA project, which has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 675731.

FundersFunder number
Horizon 2020 Framework Programme
Horizon 2020675731

    Keywords

    • Automatic control
    • Hyperbolic systems
    • Managed pressure drilling
    • Model reduction
    • Time delay

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