Mathematical modeling for stabilized plate controlling

Main Article Content

Totsapon Srisumoungklounggoon

Abstract

          The stabilized plate is a device designed for various applications with high safety requiring, involving the movement of delicate and fragile items in hospital to keep patients position stable to prevent potential harm or danger. This research introduces the design of a stabilized plate control system using a Linear Quadratic Regulator (LQR) control scheme. The mathematical model was constructed using Lagrange,s equation to aid in calculations. MATLAB/Simulink software was then used to create a motion model for the stabilized plate. Real-world experiments were conducted using an acceleration sensor to measure the tilt angle of the stabilized plate. MATLAB/Simulink was also employed to control the stabilized plate’s position. Simulation results showed that the system took approximately 1 second to reach the equilibrium position, which was the balance state of the system. In real-world experiments, it was observed that the designed control system can maintain the balance of plate within approximately 2 seconds when the plate became tilted.

Article Details

How to Cite
Srisumoungklounggoon, T. (2023). Mathematical modeling for stabilized plate controlling. RMUTSB ACADEMIC JOURNAL, 11(2), 239–253. Retrieved from https://li01.tci-thaijo.org/index.php/rmutsb-sci/article/view/259125
Section
Research Article

References

Chanhom, P. (2021). Modeling and simulation of energy storage system with multiple energy storage devices using energy management at DC-bus. RMUTSB Academic Journal, 9(1), 52-68. (in Thai)

Evanko, D., Dorrset, A., & Chu, C. (2005). Ball on beam system with embradded controller. Retrieved 5 December 2011, from: http://www.rp.feri.uni-mb.si/predmeti/skup_sem/projek1/shandor.pdf

Hollis, R. L., Lawer, T. B., & Kantor, G. A. (2006). A Dynamically stable single-wheel mobile robot with inverse mouse-ball drive. IEEE Int’1. Conference on Robotics and Automation (pp. 2884-2889). Orlando: Institute of Electrical and Electronics Engineers.

Ismaal, H. A. (2007). Ball and beam ELK 5320 neuro FUZZY system (Master’s thesis). Karadiniz technical university, Trabzon.

Kheowree, T. (2018). Altitude control of an adaptive controller combine with Kalman filter for a mini-quadrotor aircraft. RMUTSB Academic Journal, 6(2), 148-156. (in Thai)

Sangveraphunsiri, V. (2005). Control of dynamics systems. Bangkok: Chulalongkorn University Press. (in Thai)

Wamjohi, W., & Cheever, E. (2005). Ball and beam control theory demonstrater (Master’s thesis). Swartmore college, Pennsylvania.

Wellstead, P. (2009). Ball and beam 1-besic. Retrieved 10 November 2011, from: http://www.control-system-principle.co.uk/download.htm