Comparative Evaluation of Control Techniques for a Ball and Beam System Using LabVIEW

Authors

  • Shahed Mohammed Esmail Control Engineering Department, College of Electronic Technology, Bani Walid, Libya Author
  • Safa Mohammed Esmail Control Engineering Department, College of Electronic Technology, Bani Walid, Libya Author

Keywords:

Ball and Beam System, PID Control, IMC, Fuzzy Logic, LabVIEW

Abstract

This paper presents a comparative study of different control strategies applied to the Ball and Beam system which is inherently nonlinear and open-loop unstable and the system was mathematically modeled and linearized to derive its transfer function and four controllers were designed and evaluated namely a PID controller using the Ziegler–Nichols method a PID controller using the Tyreus–Luyben method an Internal Model Control-based PID controller and a Fuzzy Logic Controller and all controllers were implemented and simulated in LabVIEW to ensure consistent and reliable performance evaluation and they were compared using time-domain performance indicators including rise time settling time overshoot and steady-state error and simulation results showed that conventional PID controllers could stabilize the system but exhibited high overshoot and long settling times with the Tyreus–Luyben PID outperforming the Ziegler–Nichols PID in response speed and overall performance while the IMC-PID controller achieved zero overshoot and rapid settling and the Fuzzy Logic Controller provided smooth and stable response without requiring an accurate mathematical model.

References

[1] Z. Shareef, A Simplified Intelligent Controller for Ball and Beam System, 2010 IEEE 2nd ICETC.

[2] Bansode Lawrence, Tuning of a PID Controller for Optimal Performance of Ball and Beam System, IJERT, Vol. 9, Issue 04, April 2020.

[3] Wen Yu, Stability Analysis of PD Regulation for Ball and Beam System, 1999.

[4] A. Taifour Ali et al., Design and Implementation of Ball and Beam System Using PID Controller, Sudan University of Science and Technology.

[5] Minh Vu et al., Evaluation of Fuzzy PID Controller in Ball and Beam System, 2017 IEEE.

[6] Narong Aphiratsakun & Nane Otaryan, Ball On The Plate Model Based on PID Tuning Methods, Assumption University of Thailand.

[7] Emhemed, A. A. A. (2013). Fuzzy control for nonlinear Ball and Beam system. InternationalR. Nicole, “Title of paper with only first word capitalized,” J. Name Stand. Abbrev., in press.

[8] B. Ahmad and I. Hussain, “Design and hardware implementation of ball & beam setup,” in Proc. 2017 Fifth International Conference on Aerospace Science & Engineering (ICASE), Islamabad, Pakistan, 2017, pp. 1–6, doi: 10.1109/ICASE.2017.8374271.

[9] Norman S. Nise. Control Systems Engineering. 6th ed., New York: John Wiley & Sons, 2010

[10] ScienceDirect. (n.d.). Internal Model Control. Retrieved January 5, 2026, from

[11] Z. Zhao, Z. Liu, and J. Zhang, “IMC-PID tuning method based on sensitivity specification for process with time-delay,” J. Cent. South Univ. Technol., vol. 18, pp. 1153–1160, 2011, doi: 10.1007/s11771-011-0817-0.

[12] Moezzi, S., et al. (2018). Fuzzy Logic Control for a Ball and Beam System. International Journal of Innovative Technology and Interdisciplinary Sciences (IJITIS), 1(1), 39–48.

[13] M. Martin, D. B. Margana, and E. Habinuddin, "Fuzzy Logic Controller Implementation for Motor DC Control Position With Real-Time Operating System," Politeknik Negeri Bandung, Jawa Barat, Indonesia, 2023.

Downloads

Published

01-12-2025

How to Cite

[1]
S. Mohammed Esmail and S. Mohammed Esmail, “Comparative Evaluation of Control Techniques for a Ball and Beam System Using LabVIEW ”, JEEEIT, vol. 2, no. 01, pp. 36–43, Dec. 2025, Accessed: Jul. 18, 2026. [Online]. Available: https://jeeeit.com/index.php/jeeeit/article/view/84

Similar Articles

11-16 of 16

You may also start an advanced similarity search for this article.