A hybrid approach for the initialization of tracking simulation systems

Gerardo Santillan Martinez, Tommi Karhela, Hannu Niemistö, Ahti Rossi, Pang Cheng, Valeriy Vyatkin

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

5 Citations (Scopus)

Abstract

In the online and tracking simulation context, precise model initialization is highly important to ensure the quality of predictions made based on simulation. This paper presents a hybrid approach for the initialization of tracking simulation systems that combines different techniques and utilizes the persistent communication between model and process in order to initialize the simulation model. In the proposed approach, the model initialization is performed throughout different stages. A model is first fed with initial conditions that are close to the physical plant's state. Then, the model is run to the same state as the physical system using a process control system. Possible mass or energy errors in the state of the simulation model are corrected before the actual tracking process is started. This paper first introduces previously studied initialization techniques for online simulation systems. Then the proposed hybrid initialization method is elaborated. Finally, its implementation is demonstrated using a simple but representative process system.
Original languageEnglish
Title of host publicationEmerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages1-8
ISBN (Electronic)978-1-4673-7929-8, 978-1-4673-7928-1
DOIs
Publication statusPublished - 26 Oct 2015
MoE publication typeA4 Article in a conference publication
EventIEEE 20th Conference on Emerging Technologies & Factory Automation - Luxembourg, France
Duration: 8 Sep 201511 Sep 2015
Conference number: 20

Publication series

Name
ISSN (Print)1946-0740
ISSN (Electronic)1946-0759

Conference

ConferenceIEEE 20th Conference on Emerging Technologies & Factory Automation
Abbreviated titleETFA
CountryFrance
CityLuxembourg
Period8/09/1511/09/15

Fingerprint

Process control
Control systems
Communication

Keywords

  • adaption models
  • data models
  • water heating
  • integrated circuit modeling

Cite this

Santillan Martinez, G., Karhela, T., Niemistö, H., Rossi, A., Cheng, P., & Vyatkin, V. (2015). A hybrid approach for the initialization of tracking simulation systems. In Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on (pp. 1-8). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/ETFA.2015.7301532
Santillan Martinez, Gerardo ; Karhela, Tommi ; Niemistö, Hannu ; Rossi, Ahti ; Cheng, Pang ; Vyatkin, Valeriy. / A hybrid approach for the initialization of tracking simulation systems. Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on. Institute of Electrical and Electronic Engineers IEEE, 2015. pp. 1-8
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Santillan Martinez, G, Karhela, T, Niemistö, H, Rossi, A, Cheng, P & Vyatkin, V 2015, A hybrid approach for the initialization of tracking simulation systems. in Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on. Institute of Electrical and Electronic Engineers IEEE, pp. 1-8, IEEE 20th Conference on Emerging Technologies & Factory Automation, Luxembourg, France, 8/09/15. https://doi.org/10.1109/ETFA.2015.7301532

A hybrid approach for the initialization of tracking simulation systems. / Santillan Martinez, Gerardo; Karhela, Tommi; Niemistö, Hannu; Rossi, Ahti; Cheng, Pang; Vyatkin, Valeriy.

Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on. Institute of Electrical and Electronic Engineers IEEE, 2015. p. 1-8.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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N2 - In the online and tracking simulation context, precise model initialization is highly important to ensure the quality of predictions made based on simulation. This paper presents a hybrid approach for the initialization of tracking simulation systems that combines different techniques and utilizes the persistent communication between model and process in order to initialize the simulation model. In the proposed approach, the model initialization is performed throughout different stages. A model is first fed with initial conditions that are close to the physical plant's state. Then, the model is run to the same state as the physical system using a process control system. Possible mass or energy errors in the state of the simulation model are corrected before the actual tracking process is started. This paper first introduces previously studied initialization techniques for online simulation systems. Then the proposed hybrid initialization method is elaborated. Finally, its implementation is demonstrated using a simple but representative process system.

AB - In the online and tracking simulation context, precise model initialization is highly important to ensure the quality of predictions made based on simulation. This paper presents a hybrid approach for the initialization of tracking simulation systems that combines different techniques and utilizes the persistent communication between model and process in order to initialize the simulation model. In the proposed approach, the model initialization is performed throughout different stages. A model is first fed with initial conditions that are close to the physical plant's state. Then, the model is run to the same state as the physical system using a process control system. Possible mass or energy errors in the state of the simulation model are corrected before the actual tracking process is started. This paper first introduces previously studied initialization techniques for online simulation systems. Then the proposed hybrid initialization method is elaborated. Finally, its implementation is demonstrated using a simple but representative process system.

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Santillan Martinez G, Karhela T, Niemistö H, Rossi A, Cheng P, Vyatkin V. A hybrid approach for the initialization of tracking simulation systems. In Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on. Institute of Electrical and Electronic Engineers IEEE. 2015. p. 1-8 https://doi.org/10.1109/ETFA.2015.7301532