Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Experimental Studies of Balancing an Inverted Pendulum and Position Control of a Wheeled Drive Mobile Robot Using a Neural Network

신경회로망을 이용한 이동로봇 위의 역진자의 각도 및 로봇 위치제어에 대한 연구

  • 김성수 (충남대학교 메카트로닉스공학과) ;
  • 정슬 (충남대학교 메카트로닉스공학과)
  • Published : 2005.10.01
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Abstract

In this paper, experimental studies of balancing a pendulum mounted on a wheeled drive mobile robot and its position control are presented. Main PID controllers are compensated by a neural network. Neural network learning algorithm is embedded on a DSP board and neural network controls the angle of the pendulum and the position of the mobile robot along with PID controllers. Uncertainties in system dynamics are compensated by a neural network in on-line fashion. Experimental results show that the performance of balancing of the pendulum and position tracking of the mobile robot is good.

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References

  1. T. H. Hung, M. F. Yeh, and H. C. Lu, 'A PI-like fuzzy controller implementation for the inverted pendulum system', pp. 218-222, IEEE Conference on Intelligent Processing Systems, 1997 https://doi.org/10.1109/ICIPS.1997.672769
  2. M. E. Magana and F. Holzapfel, 'Fuzzy-logic control of an inverted pendulum with vision feedback', pp. 165-170, IEEE Trans. on Education, vol. 41, no. 2, May 1998 https://doi.org/10.1109/13.669727
  3. S. S. Kim and S. Jung, 'Hardware implementation of a real time neural network controller with a DSP and a FPGA board,' IEEE ICRA, pp. 4639-4644, 2004 https://doi.org/10.1109/ROBOT.2004.1302449
  4. S. Jung and H. T. Cho, 'Decentralized neural network Reference Compensation Technique for PD Controlled Two Degrees of Freedom Inverted Pendulum,' International Journal of Control, Automations, and Systems, vol. 2, no. 1, pp. 92-99, 2004
  5. H. T. Cho and S. Jung, '.Neural Network Position Tracking Control of an Inverted Pendulum by an X-Y Table Robot,' IEEE IROS, pp. 1210-1215, 2003 https://doi.org/10.1109/IROS.2003.1248810
  6. B. J. Thibodeau, S. W. Hart, D. R. Karuppiah, J. D. Seeney, and O. Block, 'Cascaded Filter Approach to Multi-Objective Control,' IEEE ICRA, pp. 3877-3882, 2004 https://doi.org/10.1109/ROBOT.2004.1308872
  7. R. O. Ambrose, R. T. Savely, S. M Goza, P. Strawser, M. A. Diftler, I. Spain, and N. Radford, 'Mobile manipulation using NASA's Robonaut,' IEEE ICRA, pp.2104-2109, 2004 https://doi.org/10.1109/ROBOT.2004.1308134
  8. Y. S. Ha, S. Yuta, 'Trajectory tracking control for navigation of the inverse pendulum type self-contained mobile robot,' Robotics and autonomous systems, vol. 17, Issue 1-2, pp. 65-80, 1996 https://doi.org/10.1016/0921-8890(95)00062-3
  9. F. Grasser, A. D'Arrigo, S. Colombi, A. C. Rufer, 'JOE: a mobile, inverted pendulum,' IEEE Transactions on Industrial Electronics, vol. 49, Issue 1, pp. 107-114, Feb. 2002 https://doi.org/10.1109/41.982254
  10. A. Sutherlad, T. Braunl, 'An Experimental Platform for Researching Robot Balance,' Proceeding FIRA Robot World Congress, 14-19, 2002