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Journal of Robotics
Volume 2015, Article ID 471478, 9 pages
http://dx.doi.org/10.1155/2015/471478
Research Article

Dynamic Model Identification for 6-DOF Industrial Robots

1College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, No. 29, Yudao Street, Nanjing 210016, China
2College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, No. 29, Yudao Street, Nanjing 210016, China

Received 25 August 2015; Accepted 12 October 2015

Academic Editor: Keigo Watanabe

Copyright © 2015 Li Ding et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. A. Persson, X. Feng, D. Wappling, and J. Ölvander, “A framework for multidisciplinary optimization of a balancing mechanism for an industrial robot,” Journal of Robotics, vol. 2015, Article ID 389769, 8 pages, 2015. View at Publisher · View at Google Scholar
  2. A. Paoli and A. V. Razionale, “Large yacht hull measurement by integrating optical scanning with mechanical tracking-based methodologies,” Robotics and Computer-Integrated Manufacturing, vol. 28, no. 5, pp. 592–601, 2012. View at Publisher · View at Google Scholar · View at Scopus
  3. J. Wu, J. Wang, and Z. You, “An overview of dynamic parameter identification of robots,” Robotics and Computer-Integrated Manufacturing, vol. 26, no. 5, pp. 414–419, 2010. View at Publisher · View at Google Scholar · View at Scopus
  4. C. G. Atkeson, C. H. An, and J. M. Hollerbach, “Estimation of inertial parameters of manipulator loads and links,” International Journal of Robotics Research, vol. 5, no. 3, pp. 101–119, 1986. View at Publisher · View at Google Scholar · View at Scopus
  5. M. Grotjahn, M. Daemi, and B. Heimann, “Friction and rigid body identification of robot dynamics,” International Journal of Solids and Structures, vol. 38, no. 10, pp. 1889–1902, 2001. View at Publisher · View at Google Scholar · View at Scopus
  6. M. Gautier and P. Poignet, “Extended Kalman filtering and weighted least squares dynamic identification of robot,” Control Engineering Practice, vol. 9, no. 12, pp. 1361–1372, 2001. View at Publisher · View at Google Scholar · View at Scopus
  7. H. Behzad, H. T. Shandiz, A. Noori, and T. Abrishami, “Robot identification using fractional subspace method,” in Proceedings of the 2nd International Conference on Control, Instrumentation and Automation (ICCIA '11), pp. 1193–1199, Shiraz, Iran, December 2011. View at Publisher · View at Google Scholar · View at Scopus
  8. J. Xuan, J. G. Liu, and S. F. Zhu, “Identification method of hydrodynamic parameters of autonomous underwater vehicle based on genetic algorithm,” Journal of Mechanical Engineering, vol. 46, no. 11, pp. 96–100, 2010. View at Google Scholar
  9. Y. Liu, G.-X. Li, D. Xia, and W.-F. Xu, “Identifying dynamic parameters of a space robot based on improved genetic algorithm,” Journal of Harbin Institute of Technology, vol. 42, no. 11, pp. 1734–1739, 2010. View at Google Scholar · View at Scopus
  10. D. Karaboga, “An idea based on honey bee swarm for numerical optimization,” Tech. Rep. tr06, Computer Engineering Department, Engineering Faculty, Erciyes University, 2005. View at Google Scholar
  11. L. Ding, H. T. Wu, and Y. Yao, “Chaotic artificial bee colony algorithm for system identification of a small-scale unmanned helicopter,” International Journal of Aerospace Engineering, vol. 2015, Article ID 801874, 11 pages, 2015. View at Publisher · View at Google Scholar
  12. D. Karaboga and B. Basturk, “On the performance of artificial bee colony (ABC) algorithm,” Applied Soft Computing Journal, vol. 8, no. 1, pp. 687–697, 2008. View at Publisher · View at Google Scholar · View at Scopus
  13. J. Swevers, W. Verdonck, and J. De Schutter, “Dynamic model identification for industrial robots,” IEEE Control Systems, vol. 27, no. 5, pp. 58–71, 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. A. Calanca, L. M. Capisani, A. Ferrara, and L. Magnani, “MIMO closed loop identification of an industrial robot,” IEEE Transactions on Control Systems Technology, vol. 19, no. 5, pp. 1214–1224, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. N. D. Vuong and M. H. Ang Jr., “Dynamic model identification for industrial robots,” Acta Polytechnica Hungarica, vol. 6, no. 5, pp. 51–68, 2009. View at Google Scholar · View at Scopus
  16. M. Grotjahn, M. Daemi, and B. Heimann, “Friction and rigid body identification of robot dynamics,” International Journal of Solids and Structures, vol. 38, no. 10–13, pp. 1889–1902, 2001. View at Publisher · View at Google Scholar · View at Scopus
  17. M. Gautier and W. Khalil, “A direct determination of minimum inertial parameters of robots,” in Proceedings of the IEEE International Conference on Robotics and Automation., pp. 1682–1687, 1988. View at Scopus
  18. W.-X. Wu, S.-Q. Zhu, and X.-L. Jin, “Dynamic identification for robot manipulators based on modified fourier series,” Journal of Zhejiang University: Engineering Science, vol. 47, no. 2, pp. 231–237, 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. C. Ganseman, J. Swevers, J. De Schutter et al., “Experimental robot identification using optimized periodic trajectories,” in Proceedings of the International Conference on Noise and Vibration Engineering, pp. 585–595, 1994.
  20. J. Swevers, C. Ganseman, D. Bilgin Tükel, J. de Schutter, and H. van Brüssel, “Optimal robot excitation and identification,” IEEE Transactions on Robotics and Automation, vol. 13, no. 5, pp. 730–740, 1997. View at Publisher · View at Google Scholar · View at Scopus