Rossiter, J. orcid.org/0000-0002-1336-0633, Visioli, A., Dormido, S. et al. (1 more author) (2024) A MATLAB virtual laboratory to support learning of auto-tuning PID approaches. In: Ortega, M.G., (ed.) IFAC-PapersOnLine. 4th IFAC Conference on Advances in Proportional-Integral-Derivative Control, 12-14 Jun 2024, Almería, Spain. Elsevier , pp. 73-78.
Abstract
This paper presents a small number of MATLAB APPs and livescript files designed to help students both understand and implement PID tuning. The paper presents the thinking behind the use of MATLAB and the topic itself before then describing the proposed resources in detail. The resources split into files with detailed mathematical and coding background students can use for self-study and assignments, and a virtual laboratory which is more intuitive and interactive and useful for familiarisation with core concepts. The files were recently added to the control101 toolbox (Rossiter, 2023).
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Control101 toolbox; PID compensation; virtual laboratories; independent learning |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 28 Feb 2024 17:10 |
Last Modified: | 02 Sep 2024 15:19 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.ifacol.2024.08.013 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:209621 |