A Study on Optimizing Signal Path in Model Predictive Control and Fault Detection System of Three-Tank Pilot System Using Reference Architecture

Jukka Kortela, Yared Tadesse, Kim Miikki

2024

Abstract

This paper presents the model predictive control and fault detection and diagnosis system of a three-tank pilot within a novel cloud-integrated industrial automation framework. The system architecture includes a state-of-the-art NodeJS-based gateway facilitating communication between the cloud service and the automation system. OPC DA has not been updated to function with the latest programming libraries and operating systems, which significantly reduces the performance of automation systems. The optimized signal path through the OPC DA is developed and compared to the OPC UA tunneller implementation through experiments on a real three-tank pilot system with an industrial ABB 800xA automation system. The results demonstrate that the optimized signal path significantly reduces the control interval by a factor of 5, leading to a quicker controller response. In fault detection and diagnosis, the delay is only 22 milliseconds with an optimized signal path compared to 408 milliseconds when using OPC UA tunneler software.

Paper Citation

in Harvard Style

Kortela J., Tadesse Y. and Miikki K. (2024). A Study on Optimizing Signal Path in Model Predictive Control and Fault Detection System of Three-Tank Pilot System Using Reference Architecture. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-717-7, SciTePress, pages 351-358. DOI: 10.5220/0012995400003822

in Bibtex Style

@conference{icinco24,
author={Jukka Kortela and Yared Tadesse and Kim Miikki},
title={A Study on Optimizing Signal Path in Model Predictive Control and Fault Detection System of Three-Tank Pilot System Using Reference Architecture},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2024},
pages={351-358},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012995400003822},
isbn={978-989-758-717-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - A Study on Optimizing Signal Path in Model Predictive Control and Fault Detection System of Three-Tank Pilot System Using Reference Architecture
SN - 978-989-758-717-7
AU - Kortela J.
AU - Tadesse Y.
AU - Miikki K.
PY - 2024
SP - 351
EP - 358
DO - 10.5220/0012995400003822
PB - SciTePress