Towards a systematic path for dynamic simulation to plant operation: OPC UA-enabled model adaptation method for tracking simulation

Gerardo Santillán Martínez, Tommi Karhela, Reino Ruusu, Tuomas Lackman, Valeriy Vyatkin

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

Abstract

A tracking simulator is an online simulation system that utilizes dynamic parameter estimation for calibrating model parameters to achieve state synchronization with the process. It can be utilized as a plant-wide virtual sensors or as a predictive tool to provide production forecasts based on the current state of the plant. The appearance of industrial applications based on tracking simulators has been hindered by high development cost and time-consuming sustainability of simulation models. In order to overcome this, dynamic simulation models developed during the process design and engineering stages could be used for implementing industrial tracking simulators. However, before these models can be utilized online, they require going through a model adaptation procedure where their structure and parameters are updated. This paper presents a model adaptation method for the implementation of tracking simulators which utilizes OPC Unified Architecture to adapt simulation models developed during the engineering phases of the process plant and apply them at the operation and maintenance stages. In this work, the method is described, implemented and tested using a representative process.
Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages5503-5508
Number of pages6
Volume2017-January
ISBN (Electronic)978-1-5386-1127-2
ISBN (Print)978-1-5386-1128-9 , 978-1-5386-1126-5
DOIs
Publication statusPublished - 15 Dec 2017
MoE publication typeA4 Article in a conference publication
Event43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China
Duration: 29 Oct 20171 Nov 2017
Conference number: 43

Conference

Conference43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Abbreviated titleIECON 2017
CountryChina
CityBeijing
Period29/10/171/11/17

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Keywords

  • process simulation
  • model adaptation
  • online simulation,
  • OPC Unified Architecture
  • tracking simulation

Cite this

Santillán Martínez, G., Karhela, T., Ruusu, R., Lackman, T., & Vyatkin, V. (2017). Towards a systematic path for dynamic simulation to plant operation: OPC UA-enabled model adaptation method for tracking simulation . In Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society (Vol. 2017-January, pp. 5503-5508). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/IECON.2017.8216952