Cavalcanti, J, Figueredo, LFC orcid.org/0000-0002-0759-3000, Ishihara, JY et al. (4 more authors) (2018) A real-time web-based networked control system education platform. International Journal of Electrical Engineering Education, 55 (2). pp. 130-141. ISSN 0020-7209
Abstract
Networked control systems have recently experienced a surge in fundamental theoretical results ignited by numerous advantages of introducing shared multipurpose communication networks in control systems. Regarding developments on the practical side, however, a networked control system is still wanting when it comes to experimental platforms suitable for research and educational purposes, which contributes to most of networked control system theory being validated by means of numerical examples and simulations. This paper addresses this issue by presenting a low-cost real-time networked control system platform, based on custom hardware and software solutions that can be readily explored with the sole use of a web browser connected to the Internet. The technical decisions made during development represent a fundamentally novel take on networked control system experimental platforms that can potentially be reproduced by several universities. The platform provides the user with multiple controller and input reference options, network configurations, delay statistics, and even a downloadable file containing advanced experiment data. A survey conducted with students located over 1200 km away from the platform who used it during laboratory assignments highlight the system’s usability and interactivity, and supports the platform is suitable for educational purposes.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018, The Author(s). This is an author produced version of a paper published in International Journal of Electrical Engineering Education. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Networked control systems; web-based education; remote laboratory; real-time kernel |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Mar 2018 11:35 |
Last Modified: | 11 May 2018 14:10 |
Status: | Published |
Publisher: | SAGE |
Identification Number: | 10.1177/0020720917750952 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:128434 |