Modelling and Control of a Single-Wheel Inverted Pendulum by Using Adams and Matlab

Authors

  • Sinan ILGEN
  • Emre OFLAZ
  • Erdi Gülbahçe
  • Abdullah Çakan

DOI:

https://doi.org/10.18100/ijamec.270643

Keywords:

PID Control, Modelling, Simulation, Self-balancing, Single-wheel inverted pendulum

Abstract

This research is aimed at developing a multi-body simulation model and balancing control of a single-wheeled inverted pendulum. A virtual prototype of the system has been built by using Adams software and it is simulated in both Matlab and Adams software together. The Adams model has two inputs (disturbance and control) and two outputs (pendulum angle and wheel position).  Proportional-integral-derivative (PID) controller is designed and applied for balancing control and simulation of pendulum angle. The modelling and control results show that the Proportional-integral-derivative (PID) controller can successfully achieve balancing control of the single-wheeled inverted pendulum. Also this paper can make an important contribution to background of two-wheeled robots, self-balancing transportation devices.

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References

J. Wu and W. Zhang, Design of Fuzzy Logic Controller for Two-wheeled Self-balancing Robot, 2011 6th International Forum on Strategic Technology, IFOST 2011, Harbin, China, August 2011.

J. Wu and W. Zhang, Research on Control Method of Two-wheeled Self-balancing Robot, 2011 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011, Shenzhen, China, March 2011, vol.1, pp.476-479.

M.A. Şen and M. Kalyoncu, İki Tekerlekli Kendi Kendini Dengeleyen Robotun Yörünge Takibi için Arı Algoritması kullanarak LQR Kontrolcü Tasarımı, Uluslararası Katılımlı 17. Makina Teorisi Sempozyumu, İzmir, 14-17 Haziran 2015.

University of Michigan Control Tutorials for MATLAB and Simulink (CTMS) Website. [Online]. Available: http://ctms.engin.umich.edu/CTMS/index.php?example=InvertedPendulum&section=SystemModeling

K.H. Lundberg and T.W. Barton, History of Inverted Pendulum Systems, 8th IFAC Symposium on Advances in Control Education vol. 42, pp 131-135, 2010.

J.H. Park and S. Jung, “Development and control of a single-wheel robot: Practical Mechatronics approach,” Mechatronics vol. 23 , pp. 594-606, 2013

P. Cieslak, T. Buratowski, T. Uhl, and M. Giergel, “The mono-wheel robot with dynamic stabilisation,” Robotics and Autonomous Systems, vol. 59, pp 611-619, Sep. 2011.

J.H. Lee, H.J. Shin, S.J. Lee, and S. Jung, “Balancing control of a single-wheel inverted pendulum system using air blowers: Evolution of Mechatronics capstone design,” Mechatronics, vol. 23, pp. 926-932, 2013.

J.J. Wang, “Simulation studies of inverted pendulum based on PID controllers,” Simulation Modelling Practice and Theory, vol. 19, pp. 440-449, 2011.

F. Grasser, A. D'Arrigo, S. Colombi, and A.C. Rufer, “JOE: a mobile, inverted pendulum," IEEE Transactions on Industrial Electronics, vol. 49, pp. 107-114, 2002.

W. An and Y. Li, Simulation and Control of a Two-wheeled Self-balancing Robot, IEEE International Conference on Robotics and Biomimetics (ROBIO), Shenzhen, China, pp. 456-461, Dec. 2013.

M. Kalyoncu, M.A. Şen, and M. Tinkir, İki Tekerlekli Kendini Dengeleyebilen Bir Araç İçin Yapay Sinir Ağı ve Bulanık Mantık Tabanlı Kontrolcü Tasarımı, Otomatik Kontrol Ulusal Toplantısı-(TOK 2014), Otomatik Kontrol Ulusal Toplantısı Bildiriler Kitabı, pp. 682-687, Kocaeli, 11-13 Eylül 2014.

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Published

01-12-2016

Issue

Section

Research Articles

How to Cite

[1]
“Modelling and Control of a Single-Wheel Inverted Pendulum by Using Adams and Matlab”, J. Appl. Methods Electron. Comput., pp. 326–328, Dec. 2016, doi: 10.18100/ijamec.270643.

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