Proceedings of the International Conference on Advances in Computing Technology and Artificial Intelligence (COMPUTATIA 2026)

International Conference on Advances in Computing Technology and Artificial Intelligence (COMPUTATIA 2026)

📍Jaipur, India🗓️ 23-24 March 2026

Design and Implementation of PID Control System for Beam Balancing using BLDC Motors

Authors
Roopmeet Kaur1, *, Hardik Dhiman2
1Academy of Innovative Semiconductor and Sustainable Manufacturing, National Cheng Kung University, Tainan, Taiwan
2Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan
*Corresponding author. Email: roopmeetkhurrana03@gmail.com
Corresponding Author
Roopmeet Kaur
Available Online 25 June 2026.
DOI
10.2991/978-94-6239-713-2_38How to use a DOI?
Keywords
Vega; BLDC Motor; MPU 6050; Proportional-Integral-Derivative (PID); ESC
Abstract

The beam balancing system is a classical example of a nonlinear and inherently unstable control problem widely used in control engineering research. This paper presents the design and implementation of a beam balancing system using a Brushless DC (BLDC) motor integrated with a Proportional–Integral–Derivative (PID) controller. The system aims to maintain the beam at a desired angle irrespective of external disturbances and varying load conditions. An MPU6050 sensor is used to measure the beam angle, and real-time feedback is processed through the Vega Aries development board to generate appropriate control signals. The PID controller dynamically adjusts the motor speed via an Electronic Speed Controller (ESC) to achieve system stability with minimal overshoot and steady-state error. Experimental results demonstrate that the proposed system effectively stabilizes the beam with improved response time and robustness. This implementation highlights the applicability of PID control in real-world unstable systems and provides a foundation for advanced control strategies. The developed prototype offers a low-cost and efficient platform for understanding practical control system implementation. The proposed setup also demonstrates reliable operation under repeated testing conditions. Performance analysis confirms that the controller is capable of reducing oscillations and maintaining desired beam position accurately. This work can further be extended by integrating intelligent control techniques such as fuzzy logic, adaptive PID, or optimization-based controllers for enhanced performance.

Copyright
© 2026 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 Advances in Computing Technology and Artificial Intelligence (COMPUTATIA 2026)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
25 June 2026
ISBN
978-94-6239-713-2
ISSN
2589-4919
DOI
10.2991/978-94-6239-713-2_38How to use a DOI?
Copyright
© 2026 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

TY  - CONF
AU  - Roopmeet Kaur
AU  - Hardik Dhiman
PY  - 2026
DA  - 2026/06/25
TI  - Design and Implementation of PID Control System for Beam Balancing using BLDC Motors
BT  - Proceedings of the International Conference on Advances in Computing Technology and Artificial Intelligence (COMPUTATIA 2026)
PB  - Atlantis Press
SP  - 513
EP  - 522
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-713-2_38
DO  - 10.2991/978-94-6239-713-2_38
ID  - Kaur2026
ER  -