Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)

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PID Controller Parameter Tuning Teaching Software Design

Authors
Jiesheng Zhang1, Yibing Ma1, Tianbao Wu1, *
1School of Information Science and Technology, Xiamen University Tan Kah Kee College, Zhangzhou, China
*Corresponding author. Email: 452500@qq.com
Corresponding Author
Tianbao Wu
Available Online 4 July 2023.
DOI
10.2991/978-94-6463-192-0_61How to use a DOI?
Keywords
PID controller; Control engineering; Educational software
Abstract

PID control is the earliest and most widely used automatic control method. For students studying control engineering, PID is the foundation of their learning, but also the focus and difficulty. However, for beginners, it is difficult to form an intuitive and correct understanding of PID control only through the derivation of formulas and the introduction of application scenarios. To solve this problem, we design a PID controller parameter tuning teaching software based on Python. Users can intuitively understand the role of proportional, integral, and differential control in the PID controller by setting parameters and observing the changes of the curve, and can also select different PID optimization algorithms to understand their effect in control and the applicable context. This software can help beginners quickly understand PID and its common optimization algorithms, and improve learning efficiency.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
4 July 2023
ISBN
978-94-6463-192-0
ISSN
2667-128X
DOI
10.2991/978-94-6463-192-0_61How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jiesheng Zhang
AU  - Yibing Ma
AU  - Tianbao Wu
PY  - 2023
DA  - 2023/07/04
TI  - PID Controller Parameter Tuning Teaching Software Design
BT  - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
PB  - Atlantis Press
SP  - 461
EP  - 466
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-192-0_61
DO  - 10.2991/978-94-6463-192-0_61
ID  - Zhang2023
ER  -