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JRM Vol.37 No.6 pp. 1410-1419
doi: 10.20965/jrm.2025.p1410
(2025)

Paper:

Damping and Transport Control of a Spherical Pendulum on an Omnidirectional Wheeled Robot During Manual Operation

Masafumi Hamaguchi ORCID Icon

Interdisciplinary Faculty of Science and Engineering, Shimane University
1060 Nishikawatsu, Matsue, Shimane 690-8504, Japan

Received:
April 9, 2025
Accepted:
June 24, 2025
Published:
December 20, 2025
Keywords:
omnidirectional wheeled robot, damping and transport control, notch filter, optimal servo system, genetic algorithm
Abstract

Recently, several researchers investigated mobile robots. However, when transporting objects in a complex and confined environment, robots that cannot move in any direction and cannot perform a super pivot turn have a limited range of motion. Therefore, omnidirectional mobile robots have been extensively studied. Mobile robots for transporting objects are often used in factories, public facilities, and restaurants. To shorten transportation time and avoid obstacles, mobile robots sometimes rapidly accelerate, decelerate, or traverse steps, which may cause vibrations and damage to transport objects. Transporting a person may give the person a sense of unease or discomfort. Therefore, vibration control is necessary. This study proposes the manual operation of an omnidirectional mobile robot to perform vibration control of a spherical pendulum, which is a tentative transport object. A notch filter and an optimal servo system were used for vibration control of the pendulum. The vibration of the pendulum generated during operation was reduced using a notch filter, and the vibration of the pendulum excited by the disturbances was suppressed by feedback control using the optimal servo system. The control gain of the optimal servo system was reasonably determined using a genetic algorithm based on a quantitative evaluation of the operability and damping performance. The effectiveness of the control system was verified through simulations and experiments.

Experimental equipment

Experimental equipment

Cite this article as:
M. Hamaguchi, “Damping and Transport Control of a Spherical Pendulum on an Omnidirectional Wheeled Robot During Manual Operation,” J. Robot. Mechatron., Vol.37 No.6, pp. 1410-1419, 2025.
Data files:
References
  1. [1] A. Georgiev and P. K. Allen, “Localization methods for a mobile robot in urban environments,” IEEE Trans. on Robotics, Vol.20, No.5, pp. 851-864, 2004. https://doi.org/10.1109/TRO.2004.829506
  2. [2] S. Park and S. Hashimoto, “Autonomous mobile robot navigation using passive RFID in indoor environment,” IEEE Trans. on Industrial Electronics, Vol.56, No.7, pp. 2366-2373, 2009. https://doi.org/10.1109/TIE.2009.2013690
  3. [3] K. Kurashiki, M. Aguilar, and S. Soontornvanichkit, “Visual navigation of a wheeled mobile robot using front image in semi-structured environment,” J. Robot. Mechatron., Vol.27, No.4, pp. 392-400, 2015. https://doi.org/10.20965/jrm.2015.p0392
  4. [4] K. Terada, H. Miura, M. Okugawa, and Y. Kobayashi, “Adaptive speed control of wheeled mobile robot on uncertain road condition,” J. Robot. Mechatron., Vol.28, No.5, pp. 687-694, 2016. https://doi.org/10.20965/jrm.2016.p0687
  5. [5] N. Mukai et al., “Application of object grasping using dual-arm autonomous mobile robot—Path planning by spline curve and object recognition by YOLO—,” J. Robot. Mechatron., Vol.35, No.6, pp. 1524-1531, 2023. https://doi.org/10.20965/jrm.2023.p1524
  6. [6] A. Watanabe et al., “Ground adaptability of crawler mobile robots with sub-crawler rotary joint compliance,” J. Robot. Mechatron., Vol.36, No.3, pp. 732-745, 2024. https://doi.org/10.20965/jrm.2024.p0732
  7. [7] K. Sato, K. Watanabe, K. Izumi, and M. Watanabe, “An adaptive PI control system for an omnidirectional mobile robot,” J. Robot. Mechatron., Vol.11, No.5, pp. 349-355, 1999. https://doi.org/10.20965/jrm.1999.p0349
  8. [8] A. Matsumoto, S. Tsukuda, and G. Yoshita, “Navigation of an omnidirectional mobile robot by teaching a few omnidirectional images,” J. Robot. Mechatron., Vol.16, No.1, pp. 80-89, 2004. https://doi.org/10.20965/jrm.2004.p0080
  9. [9] T. Ogino, M. Tomono, T. Akimoto, and A. Matsumoto, “Human following by an omnidirectional mobile robot using maps built from laser range-finder measurement,” J. Robot. Mechatron., Vol.22, No.1, pp. 28-35, 2010. https://doi.org/10.20965/jrm.2010.p0028
  10. [10] T. Ogawa and T. Nakamura, “Path tracking method for traveling-wave-type omnidirectional mobile robot (TORoIII),” J. Robot. Mechatron., Vol.24, No.2, pp. 340-346, 2012. https://doi.org/10.20965/jrm.2012.p0340
  11. [11] T. Terakawa, M. Komori, K. Matsuda, and S. Mikami, “A novel omnidirectional mobile robot with wheels connected by passive sliding joints,” IEEE/ASME Trans. on Mechatronics, Vol.23, No.4, pp. 1716-1727, 2018. https://doi.org/10.1109/TMECH.2018.2842259
  12. [12] S. Long, T. Terakawa, M. Yogou, R. Koyano, and M. Komori, “Kinetic analysis of active omni wheel with barrel-shaped rollers for avoiding slippage and vibration,” J. of Mechanisms and Robotics, Vol.16, No.5, Article No.051002, 2024. https://doi.org/10.1115/1.4062608
  13. [13] K. Yano and K. Terashima, “Sloshing suppression control of liquid transfer systems considering a 3-D transfer path,” IEEE/ASME Trans. on Mechatronics, Vol.10, No.1, pp. 8-16, 2005. https://doi.org/10.1109/TMECH.2004.839033
  14. [14] M. Hamaguchi and T. Taniguchi, “Damping and transfer control of liquid in a cylindrical container using a wheeled mobile robot,” J. Robot. Mechatron., Vol.17, No.5, pp. 546-552, 2005. https://doi.org/10.20965/jrm.2005.p0546
  15. [15] J. Urbano, K. Terashima, T. Miyoshi, and H. Kitagawa, “Velocity control of an omni-directional wheelchair considering user’s comfort by suppressing vibration,” 2005 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 3169-3174, 2005. https://doi.org/10.1109/IROS.2005.1545334
  16. [16] M. Hamaguchi and T. Taniguchi, “Sloshing damping control in a cylindrical container on a wheeled mobile robot using dual-swing active-vibration reduction,” J. Robot. Mechatron., Vol.21, No.5, pp. 642-646, 2009. https://doi.org/10.20965/jrm.2009.p0642
  17. [17] M. Hamaguchi, “Damping and transfer control system with parallel linkage mechanism-based active vibration reducer for omnidirectional wheeled robots,” IEEE/ASME Trans. on Mechatronics, Vol.23, No.5, pp. 2424-2435, 2018. https://doi.org/10.1109/TMECH.2018.2866916
  18. [18] M. Hamaguchi and T. Yajima, “Vibration control for sloshing in liquid container in cart with active vibration reducer (transfer on an uneven road),” Mechanical Engineering J., Vol.10, No.4, Article No.23-00136, 2023. https://doi.org/10.1299/mej.23-00136
  19. [19] L.-C. Lin and H.-Y. Shih, “Modeling and adaptive control of an omni-Mecanum-wheeled robot,” Intelligent Control and Automation, Vol.4, No.2, pp. 166-179, 2013. https://doi.org/10.4236/ica.2013.42021
  20. [20] K. Furuta, S. Kawaji, T. Mita, and S. Hara, “Mechanical system control,” Ohmsha, Ltd., 1984 (in Japanese).
  21. [21] M. D. Vose, “The simple genetic algorithm: Foundations and theory,” The MIT Press, 1999. https://doi.org/10.7551/mitpress/6229.001.0001
  22. [22] I. Robandi, K. Nishimori, R. Nishimura, and N. Ishihara, “Optimal feedback control design using genetic algorithm in multimachine power system,” Int. J. of Electrical Power & Energy Systems, Vol.23, No.4, pp. 263-271, 2001. https://doi.org/10.1016/s0142-0615(00)00062-4
  23. [23] H. N. Abramson, “Dynamic behavior of liquids in moving containers,” Applied Mechanics Reviews, Vol.16, No.7, pp. 501-506, 1963.

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Last updated on Dec. 19, 2025