Article | Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany | Designing models for online use with Modelica and FMI

Title:
Designing models for online use with Modelica and FMI
Author:
Pål Kittilsen: Cybernetica AS, 7038 Trondheim/Statoil Research Centre, Trondheim, Norway Svein Olav Hauger: Cybernetica AS, 7038 Trondheim, Norway Stein O. Wasbø: Cybernetica AS, 7038 Trondheim, Norway
DOI:
10.3384/ecp12076197
Download:
Full text (pdf)
Year:
2012
Conference:
Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany
Issue:
076
Article no.:
019
Pages:
197-204
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2012-11-19
ISBN:
978-91-7519-826-2
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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Model-based online applications such as soft-sensing; fault detection or model predictive control require representative models. Basing models on physics has the advantage of naturally describing nonlinear processes and potentially describing a wide range of operating conditions. Implementing adaptivity is essential for online use to avoid model performance degradation over time and to compensate for model imperfection. Requirements for identifiability and observability; numerical robustness and computational speed place an upper limit on model complexity. These considerations motivate that models for online use should be balanced-complexity; physically based with online adaption possible.

Despite potential benefits; the effort required to implement balanced-complexity models; particularly at large scales; may deter their use. This paper presents techniques used in the design of balanced-complexity models. A Modelica-based approach is chosen to reduce implementation effort by interfacing exported Modelica models with application code by means of the generic interface FMI. The suggested approach is demonstrated by parameter estimation for a process of offshore oil production: a subsea well-manifold-pipeline production system.

Keywords: Modeling; process control; process models; process simulators; offshore oil and gas production; Modelica; subsea production; multiphase flow; balanced-complexity models; nonlinear model-predictive control; FMI

Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany

Author:
Pål Kittilsen, Svein Olav Hauger, Stein O. Wasbø
Title:
Designing models for online use with Modelica and FMI
DOI:
http://dx.doi.org/10.3384/ecp12076197
References:
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Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany

Author:
Pål Kittilsen, Svein Olav Hauger, Stein O. Wasbø
Title:
Designing models for online use with Modelica and FMI
DOI:
http://dx.doi.org/10.3384/ecp12076197
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