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

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

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

5 Citations (Scopus)
100 Downloads (Pure)

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 of the 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
PublisherIEEE
Pages5503-5508
Number of pages6
ISBN (Electronic)978-1-5386-1127-2
DOIs
Publication statusPublished - 2017
MoE publication typeA4 Conference publication
EventAnnual Conference of the IEEE Industrial Electronics Society - Beijing, China
Duration: 29 Oct 20171 Nov 2017
Conference number: 43
http://iecon2017.csp.escience.cn/

Publication series

NameProceedings of the Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE
ISSN (Print)1553-572X

Conference

ConferenceAnnual Conference of the IEEE Industrial Electronics Society
Abbreviated titleIECON
Country/TerritoryChina
CityBeijing
Period29/10/201701/11/2017
Internet address

Keywords

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

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