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

Autor: Gerardo Santillan Martinez, Tommi Karhela, Reino Ruusu, Tuomas Lackman, Valeriy Vyatkin
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: IECON
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, IEEE Institute of Electrical and Electronic Engineers, pp. 5503-5508, 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, Beijing, China, 29/10/17 . https://doi.org/10.1109/IECON.2017.8216952
DOI: 10.1109/IECON.2017.8216952
Popis: 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.
Databáze: OpenAIRE