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State control of a 12 DOF mobile manipulator via centroid feedback

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Abstract

This paper presents a method for controlling the time-varying centroid of a two-wheeled mobile manipulator via centroid feedback. The state control of a two-wheeled mobile manipulator is a typical example of the stable control of a nonlinear time-varying system. Because of the principle of the two-wheeled inverted pendulum robot, when the centroid of the mobile manipulator changes, the state of the mobile manipulator changes. To control the state of the mobile manipulator, the centroid of the mobile manipulator must be kept at a vertical position. The position of the centroid of the mobile manipulator can be obtained in Cartesian space via coordinate transformation. The position data are then fed back to the mobile platform for achieving state control of the mobile manipulator. Through simulations, the centroid feedback control is combined with a basic PD control, which completes the state control of the mobile manipulator. The experimental data demonstrate the effectiveness of the proposed method in achieving state control of a 12 DOF mobile manipulator.

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References

  1. Nguyen, H. G., Morrell, J., Mullens, K., Burmeister, A., Miles, S., Farrington, N., Thomas, K., and Gage, D. W., “Segway Robotic Mobility Platform,” SPIE Proc. 5609: Mobile Robots XVII, 2004.

    Google Scholar 

  2. Ha, Y. and Yuta, S., “Trajectory Tracking Control for Navigation of Self-Contained Mobile Inverse Pendulum,” Proceedings of the IEEE/RSJ/GI International Conference on Intelligent Robots and Systems, Vol. 3, pp. 1875–1882, 1994.

    Google Scholar 

  3. Ha, Y. and Yuta, S., “Trajectory tracking control for navigation of the inverse pendulum type self-contained mobile robot,” Robotics and Autonomous Systems, Vol. 17, pp. 65–80, 1996.

    Article  Google Scholar 

  4. Baloh, M. and Parent, M., “Modeling and Model Verification of an Intelligent Self-Balancing Two-Wheeled Vehicle for an Autonomous Urban Transportation System,” The Conference on Computational Intelligence, Robotics, and Autonomous Systems, pp. 1–7, 2003.

    Google Scholar 

  5. Pathak, K., Franch, J., and Agrawal, S. K., “Velocity and Position Control of a Wheeled Inverted Pendulum by Partial Feedback Linearization,” IEEE Trans. on Robotics, Vol. 21, pp. 505–513, 2005.

    Article  Google Scholar 

  6. Lee, H. and Jung, S., “Balancing and navigation control of a mobile inverted pendulum robot using sensor fusion of low cost sensors,” Mechatronics, Vol. 22, pp. 95–105, 2012.

    Article  MathSciNet  Google Scholar 

  7. Li, Z. and Zhang, Y., “Robust adaptive motion/force control for wheeled inverted pendulums,” Automatica, Vol. 46, pp. 1346–1353, 2010.

    Article  MATH  Google Scholar 

  8. Li, Z. and Yang, C., “Neural-Adaptive Output Feedback Control of a Class of Transportation Vehicles based on Wheeled Inverted Pendulum Models,” IEEE Trans. Control System Technology, Vol. 20, No. 6, pp. 1583–1591, 2012.

    Article  Google Scholar 

  9. Yang, C., Li, Z., and Li, J., “Trajectory Planning and Optimized Adaptive Control for a Class of Wheeled Inverted Pendulum Vehicle Models,” IEEE Transactions on Cybernetics, Vol. 43, No. 1, pp. 24–36, 2013.

    Article  Google Scholar 

  10. Furuno, S., Yamamoto, M., and Mohri, A., “Trajectory Planning of Mobile Manipulator with Stability Considerations,” IEEE International Conference on Robotics & Automation, Vol. 3, pp. 3403–3408, 2003.

    Google Scholar 

  11. Kang, S., Komoriya, K., Yokoi, K., Koutoku, T., Kim, B., and Park, S., “Control of Impulsive Contact Force between Mobile Manipulator and Environment Using Effective Mass and Damping Controls,” Int. J. Precis. Eng. Manuf., Vol. 11, pp. 697–704, 2010.

    Article  Google Scholar 

  12. Dinh, V., Nguyen, H., Shin, S., Kim, H., Kim, S., and Byun, G., “Tracking control of omnidirectional mobile platform with disturbance using differential sliding mode controller,” Int. J. Precis. Eng. Manuf., Vol. 13, pp. 39–48, 2012.

    Article  Google Scholar 

  13. Nagatani, K. and Yuta, S., “Designing Strategy and Implementation of Mobile Manipulator Control System for Opening Door,” IEEE International Conference on Robotics and Automation, Vol. 3, pp. 2828–2834, 1996.

    Article  Google Scholar 

  14. Yu, S., Choi, C., Lee, S., Lee, J., and Han, C., “Development of an articulated mine-detecting manipulator system for mobile robots,” Journal of Mechanical Science and Technology, Vol. 25, pp. 1051–1060, 2011.

    Article  Google Scholar 

  15. Dietrich, A., Wimbock, T., Albu-Schaffer, A., and Hirzinger, G., “Reactive Whole-Body Control: Dynamic Mobile Manipulation Using a Large Number of Actuated Degrees of Freedom,” Robotics & Automation Magazine, Vol. 19, pp. 20–33, 2012.

    Article  Google Scholar 

  16. Lee, Y. and Lim, D., “An endoskeleton framework biped robot, “ADDAM” with coupled link mechanism,” Int. J. Precis. Eng. Manuf., Vol. 12, pp. 613–621, 2011.

    Article  Google Scholar 

  17. Acar, C. and Murakami, T., “Multi-Task Control for Dynamically Balanced Two-Wheeled Mobile Manipulator Through Task-Priority,” 2011 IEEE International Symposium on Industrial Electronics (ISIE), pp. 2195–2200, 2011.

    Chapter  Google Scholar 

  18. Abeygunawardhana, P. K. W. and Toshiyuki, M., “Environmental Interaction of Two wheeled Mobile Manipulator by using Reaction Torque Observer,” AMC’08, 10th IEEE International Workshop on Advanced Motion Control, pp. 348–353, 2008.

    Chapter  Google Scholar 

  19. Abeygunawardhana, P. K. W., Defoort, M., and Murakami, T., “Self-Sustaining Control of Two-Wheel Mobile Manipulator using Sliding Mode Control,” The 11th IEEE International Workshop on Advanced Motion Control, pp. 792–797, 2010.

    Google Scholar 

  20. Abeygunawardhana, P. K. W. and Toshiyuki, M., “Stability Improvement of Two Wheel Mobile Manipulator by Real Time Gain Control Technique,” Second International Conference on Industrial and Information Systems, pp. 79–84, 2007.

    Google Scholar 

  21. Thibodeau, B. J., Deegan, P., and Grupen, R., “Static Analysis of Contact Forces with a Mobile Manipulator,” IEEE International Conference on Robotics and Automation, pp. 4007–4012, 2006.

    Google Scholar 

  22. Kuindersma, S. R., Hannigan, E., Ruiken, D., and Grupen, R. A., “Dexterous mobility with the uBot-5 Mobile Manipulator,” International Conference on Advanced Robotics, pp. 1–7, 2009.

    Google Scholar 

  23. Calculation of Position of Mass Center and Moment of Inertia, Missile system and structure design, Northwestern Polytechnical University, China, http://jpkc.nwpu.edu.cn/jp2005/02/wljx/wlkc/ztsj/ztwk/zt05/5-5.htm

  24. Li, Z. and Xu, C., “Adaptive fuzzy logic control of dynamic balance and motion for wheeled inverted pendulums,” Fuzzy Sets and Systems, Vol. 160, pp. 1787–1803, 2009.

    Article  MathSciNet  MATH  Google Scholar 

  25. Lee, H. J., Kim, H. W., and Jung, S., “Development of a Mobile Inverted Pendulum Robot System as a Personal Transportation Vehicle with Two Driving Modes: TransBot,” World Automation Congress (WAC), pp. 1–5, 2010.

    Google Scholar 

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Correspondence to Jangmyung Lee.

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Wang, G., Lee, J. State control of a 12 DOF mobile manipulator via centroid feedback. Int. J. Precis. Eng. Manuf. 14, 745–754 (2013). https://doi.org/10.1007/s12541-013-0098-7

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  • DOI: https://doi.org/10.1007/s12541-013-0098-7

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