Model and control algorithm construction for rotary inverted pendulum in laboratory
Corressponding author's email:
16151036@student.hcmute.edu.vnKeywords:
Rotary inverted pendulum, LQR algorithm, Swing up, Furuta method, balancing controlAbstract
A rotary inverted pendulum is a popular and basic model in control theory. However, the price of this model is remarkably expensive and unsuitable for laboratory equipping in a limited condition of Vietnam. Recent self-created models do not satisfy the requirement in model parameters. It causes that the control designing method that is based on system parameters cannot be designed well. The paper proposes steps to create an inexpensive and easy-to-make rotary inverted pendulum for control laboratories in the condition of Vietnam. The model is clear in dynamic structure, system parameters. And the ability of the system in training in laboratories is proven by applying controllers which are designed through dynamic equations. Then, the survey on controllers-swing up and balancing- and system responses will show the effectiveness of this real model. The balancing LQR controller is selected and the swing-up controller is Furuta methods.
Downloads: 0
References
Jen-Hsing Li, Composite Fuzzy Control of a Rotary Inverted Pendulum, 2013 IEEE International Symposium on Industrial Electronics
T. C. Kuo, Adaptive PID with sliding mode control for the rotary inverted pendulum system, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.
Nguyen Duc Quyen, Ngo Van Thuyen, Nguyen Quang Hoc, Nguyen Duc Hien, Rotary inverted pendulum and control of rotary inverted pendulum by artificial neural network, Proc. Natl. Conf. Theor. Phys. 37 (2012), pp. 243-249.
Philippe Faradja, Guoyuan Qi, Martial Tatchum, Sliding mode control of a Rotary Inverted Pendulum using higher order differential observer, 2014 14th International Conference on Control, Automation and Systems (ICCAS 2014).
K. Furuta and M. Iwase, Swing-up time analysis of pendulum, Bulletin of the Polish Academy of Sciences Technical Sciences Vol. 52, No. 3, 2004.
Velchuri Sirisha and Dr. Anjali. S. Junghare, A Comparative study of controllers for stabilizing a Rotary Inverted Pendulum, International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.3, No.1/2, June 2014.
Vũ Chấn Hưng, Đặng Thành Phu, Hoàng Văn Tuấn, Điều khiển hệ thống con lắc ngược quay, Tạp chí khoa học và công nghệ tập 43, số 3, 2005.
Viroch Sukontanakarn and Manukid Parnichkun, Real-Time Optimal Control for Rotary Inverted Pendulum, American Journal of Applied Sciences 6 (6): 1106-1115, 2009 ISSN 1546-9239.
Ho Trong Nguyen, Nguyen Minh Tam, Nguyen Van Dong Hai, Application of genetic algorithm in optimization controller for cart and pole system, Journal of Technical Education Science No.44A, Oct-2017.
Quanser rotary inverted pendulum workbook.
Minho Park, Yeoun-Jae Kim and Ju-Jang Lee, Swing-up and LQR stabilization of rotary inverted pendulum, The Sixteenth International Symposium on Artificial Life and Robotics 2011(AROB 16th ’11).
Downloads
Published
How to Cite
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright © JTE.


