Abstract
Many of the currently available dynamic models for the two-wheeled balancing mobile robot have some common mistakes, which are mainly due to misunderstanding about the coordinate systems to describe the rotating motions and a lack of rigorous comparison with former derivations. This paper investigates the modeling procedures for the 2WBMR in terms of the Lagrangian approach and Kane’s method, through which an exact dynamic model is given, and we discuss how the modeling errors in the former works were induced. Numerical examples are given to see the effect of the erroneous terms on the postural stability.
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Y. Ha and S. Yuta, “Trajectory tracking control for navigation of the inverse pendulum type selfcontained mobile robot,” Robotics and Autonomous Systems, vol. 17, pp. 65–80, 1996.
F. Grasser, A. D’Arrigo, S. Colombi, and A. C. Rufer, “Joe: a mobile, inverted pendulum,” IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 107–114, February 2002.
Y. Kim, S. Kim, and Y. Kwak, “Dynamic analysis of a nonholonomic two-wheeled inverted pendulum robot,” Journal of Intelligent and Robotic Systems, vol. 44, no. 1, pp. 25–46, 2005.
T. Takei, R. Imamura, and S. Yuta, “Baggage transportation and navigation by a wheeled inverted pendulum mobile robot,” IEEE Trans. on Industrial Electronics, vol. 56, no. 10, pp. 3985–3994, 2009.
S. C. Lin, P. S. Tsai, and H. C. Huang, “Adaptive robust self-balancing and steering of a two-wheeled human transportation vehicle,” Journal of Intelligent and Robotic Systems, vol. 62, no. 1, pp. 103–123, April 2011.
P. Petrov and M. Parent, “Dynamic modeling and adaptive motion control of a two-wheeled selfbalancing vehicle for personal transport,” Proc. of 13th Int. IEEE Conf. on Intelligent Transportation Systems, pp. 1013–1018, 2010.
H. Azizan, M. Jafarinasab, S. Behbahani, and M. Danesh, “Fuzzy control based on LMI approach and fuzzy interpretation of the rider input for two wheeled balancing human transporter,” Proc. of 8th IEEE Int. Conf. on Control and Automation, pp. 192–197, 2010.
M. Baloh and M. Parent, “Modeling and model verification of an intelligent self-balancing twowheeled vehicle for an autonomous urban transportation system,” Proc. of the Conf. on Computational Intelligence, Robotics, and Autonomous Systems, pp. 1–7, 2003.
General Motors, [Online video]. Available: http://en.wikipedia.org/wiki/General_Motors_EN-V, http: //youtu.be/zoKxx0GEEFE
H. Ustal and J. L. Minkel, “Study of the independence IBOT 3000 mobility system: an innovative power mobility device, during use in community environments,” Archives of Physical Medicine and Rehabilitation, vol. 85, no. 12
Genny Mobility, [Online video]. Available: http://www.gennymobility.com/Genny/Concept.aspx, http://youtu.be/7DfcjRcoef0
S. Miao and Q. Cao, “Modeling of self-tilt-up motion for a two-wheeled inverted pendulum,” Industrial Robot: An International Journal, vol. 38, no. 1, pp. 76–85, January 2011.
S. Jeong and T. Takayuki, “Wheeled inverted pendulum type assistant robot: design concept and mobile control,” Intelligent Service Robotics, pp. 313–320, 2008.
Z. Li and J. Luo, “Adaptive robust dynamic balance and motion controls of mobile wheeled inverted pendulums,” IEEE Trans. on Control Systems Technology, vol. 17, no. 1, pp. 233–241, January 2009.
C. H. Huang, W. J. Wang, and C. H. Chiu, “Design and implementation of fuzzy control on a twowheel inverted pendulum,” IEEE Trans. on Industrial Electronics, vol. 58, no. 7, pp. 2988–3001, July 2011.
J. Huang, Z.-H. Guan, T. Matsuno, T. Fukuda, and K. Sekiyama, “Sliding mode velocity control of mobile-wheeled inverted-pendulum systems,” IEEE Trans. on Robotics, vol. 26, no. 4, pp. 750–758, August 2010.
A. Salerno and J. Angeles, “A new family of two wheeled mobile robot: modeling and controllability,” IEEE Trans. on Robotics, vol. 23, no. 1, pp. 169–173, February 2007.
K. Pathak and S. Agrawal, “Band-limited trajectory planning and tracking for certain dynamically stabilized mobile systems,” Journal of Dynamic Systems, Measurement, and Control, vol. 128, no. 1, pp. 104–111, 2006.
K. Teeyapan, J. Wang, T. Kunz, and M. Stilman. “Robot limbo: optimized planning and control for dynamically stable robots under vertical obstacles,” IEEE Int. Conf. on Robotics and Automation, pp. 4519–4524, 2010.
D. Choi and J. Oh, “Human-friendly motion control of a wheeled inverted pendulum by reduced-order disturbance observer,” Proc. of IEEE Int. Conf. on Robotics and Automation, pp. 2521–2526, May 2008.
K. Pathak, J. Franch, and S. Agrawal, “Velocity and position control of a wheeled inverted pendulum by partial feedback linearization,” IEEE Trans. on Robotics, vol. 21, no. 3, pp. 505–513, June 2005.
M. C. Tsai and J. S. Hu, “Pilot control of an autobalancing two wheeled cart,” Advanced Robotics, vol. 21, no. 7, pp. 817–827, 2007.
T. R. Kane and D. A. Levinson, Dynamics: Theory and Applications, McGraw-Hill Book Company, 1985.
M. Muhammad, S. Buyamin, M. N. Ahmad, S. W. Nawawi, and A. A. Bature, “Multiple operating points model-based control of a two-wheeled inverted pendulum mobile robot,” Int. Journal of Mechanical & Mechatronics Engineering IJMMEIJENS, vol. 13, no. 5, pp. 1–9, 2013.
B. Siciliano, L. Sciavicco, L. Villani, and G. Oriolo, Robotics: Modeling, Planning and Control, Springer-Verlag, London, 2009.
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Recommended by Associate Editor Kyu-Jin Cho under the direction of Editor Hyouk Ryeol Choi.
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF-2012R1A1B3003886).
Sangtae Kim received his B.S. and M.S. degrees in Aerospace and Mechanical Engineering from Korea Aerospace University, in 2008 and 2010, respectively. He is currently working toward a Ph.D. degree in School of Aerospace and Mechanical Engineering, Korea Aerospace University. His research interests include design, analysis, and nonlinear optimal control of two-wheeled balancing mobile robot.
SangJoo Kwon received his B.S. degree in Naval Architecture and Ocean Engineering from Seoul National University in 1989, and his M.S. and Ph.D. degrees in Mechanical Engineering from Pohang University of Science and Technology (POSTECH), in 1991 and 2002, respectively. He was with the Agency for Defense Development of Korea from 1991 to 1997 as a Research Scientist and the Korea Institute of Science and Technology in 2003 and the Korea Institute of Industrial Technology in 2004 as a Senior Researcher. Currently, he is an Associate Professor in School of Aerospace and Mechanical Engineering, Korea Aerospace University. His current research interests include mobile robot design and control, optimal planning, and filtering.
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Kim, S., Kwon, S. Dynamic modeling of a two-wheeled inverted pendulum balancing mobile robot. Int. J. Control Autom. Syst. 13, 926–933 (2015). https://doi.org/10.1007/s12555-014-0564-8
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DOI: https://doi.org/10.1007/s12555-014-0564-8