Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)

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Robust PID Control of Piezoelectric Actuators with Internet of Things Integration Using Blynk Application

Authors
Mohd Hazri Mohd Rusli1, Muhammad Hadi Sabaruddin2, Suzilawati M-Kayat2, *, Chee Sze Keat3
1Smart Manufacturing Institute (SMRI)College of Engineering, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia
2School of Mechanical Engineering, College of Engineering, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia
3Mechano Transformer Corporation, Chiyoda-Ku, Japan
*Corresponding author. Email: suzilawati6191@uitm.edu.my
Corresponding Author
Suzilawati M-Kayat
Available Online 1 December 2024.
DOI
10.2991/978-94-6463-589-8_50How to use a DOI?
Keywords
PEA; Piezoelectric Actuator; ESP 32; Microcontroller; Arduino Software; IoT Internet of Things; PID Tuning; MATLAB Software
Abstract

The use of Arduino software to fine-tune piezoelectric actuators for achieving a fast response configuration is investigated. Achieving optimal performance from piezoelectric actuators in Internet of Things (IoT) applications remains a significant challenge due to the complexities involved in tuning and controlling these devices in real time. Traditional tuning methods often fail to meet the speed and accuracy requirements of dynamic IoT environments, necessitating the development of a reliable and efficient tuning process. The tuning procedure is examined with a focus on system performance using MATLAB software. The primary objective is to enable multiple tunings suitable for IoT applications. By employing an ESP32 microcontroller, the desired performance outcomes are achieved. The combination of MATLAB and Arduino allows for accurate real-time control and monitoring of the piezoelectric actuators. Experimental results demonstrate the system's capability for rapid and precise adjustments, enhancing its potential for various IoT applications. This study establishes a foundation for future investigations into advanced piezoelectric system tuning techniques for IoT applications, aiming to improve the overall functionality and potential of piezoelectric actuators by addressing the limitations of conventional tuning methods and leveraging advanced software capabilities.

Copyright
© 2024 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 International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
Series
Advances in Computer Science Research
Publication Date
1 December 2024
ISBN
978-94-6463-589-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-589-8_50How to use a DOI?
Copyright
© 2024 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  - Mohd Hazri Mohd Rusli
AU  - Muhammad Hadi Sabaruddin
AU  - Suzilawati M-Kayat
AU  - Chee Sze Keat
PY  - 2024
DA  - 2024/12/01
TI  - Robust PID Control of Piezoelectric Actuators with Internet of Things Integration Using Blynk Application
BT  - Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
PB  - Atlantis Press
SP  - 532
EP  - 543
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-589-8_50
DO  - 10.2991/978-94-6463-589-8_50
ID  - Rusli2024
ER  -