CFP last date
22 April 2024
Reseach Article

Comparative Study of Three Different Path Tracking Controls in Mobile Robots

by Abel Garcia-b., Cristian G. Perez-t., Eduardo S. Espinoza-q., Francisco R. Trejo-m., Luis E. Ramos-v., Hugo Romero-t., Jesus M. Munoz-p.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 5
Year of Publication: 2013
Authors: Abel Garcia-b., Cristian G. Perez-t., Eduardo S. Espinoza-q., Francisco R. Trejo-m., Luis E. Ramos-v., Hugo Romero-t., Jesus M. Munoz-p.
10.5120/12885-9823

Abel Garcia-b., Cristian G. Perez-t., Eduardo S. Espinoza-q., Francisco R. Trejo-m., Luis E. Ramos-v., Hugo Romero-t., Jesus M. Munoz-p. . Comparative Study of Three Different Path Tracking Controls in Mobile Robots. International Journal of Computer Applications. 74, 5 ( July 2013), 47-51. DOI=10.5120/12885-9823

@article{ 10.5120/12885-9823,
author = { Abel Garcia-b., Cristian G. Perez-t., Eduardo S. Espinoza-q., Francisco R. Trejo-m., Luis E. Ramos-v., Hugo Romero-t., Jesus M. Munoz-p. },
title = { Comparative Study of Three Different Path Tracking Controls in Mobile Robots },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 5 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 47-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number5/12885-9823/ },
doi = { 10.5120/12885-9823 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:41:28.545330+05:30
%A Abel Garcia-b.
%A Cristian G. Perez-t.
%A Eduardo S. Espinoza-q.
%A Francisco R. Trejo-m.
%A Luis E. Ramos-v.
%A Hugo Romero-t.
%A Jesus M. Munoz-p.
%T Comparative Study of Three Different Path Tracking Controls in Mobile Robots
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 5
%P 47-51
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a comparative study of three different path tracking control laws for the formation of a group of nonholonomic mobile robots. By introducing a uni?ed error of the formation and trajectory tracking using; the dynamic feedback linearization control [1], dynamic-static feedback linearization control [2] and nonlinear time-invariant control [3] are compared. The simulations results show that the dynamic-static feedback linearization technique presents a stable tracking with smoother behaviour and avoiding discontinuities for tracking trajectory of the robot leader. Finally, this method was implemented experimentally in three different paths formatting a simple triangle with three mobile robots in a leader-follower type motion. Moreover, the analysis in this paper reveals some important issues raising that the following control on this system can be extended to underactuated AUVs in future work.

References
  1. Gamage, G. W. , Mann, G. K. I. , Gosine, R. G. , Formation Control of Multiple Nonholonomic Mobile Robots Via Dynamic Feedback Linearization, In Proceedings International Conference on Advanced Robotics, IEEE-ICAR 2009, pp. 1-6, 2009.
  2. Isidori A. , Nonlinear control systems, 3rd Edition, Springer-Verlag, 1995.
  3. C. Samson, "Time-varying feedback stabilization of car-like wheeled mobile robots," Int. J. of Robotics Research, vol. 12, no. 1, pp. 55-64, 1993.
  4. D. Rus, B. Donald, and J. Jennings, "Moving furniture with a team of autonomous robots," in Proc. IEEE/RSJ IEEE. Int. Conf. Intelligent Robots and Systems, pp. 556–561, 1995.
  5. M. Mataric, M. Nilsson, and K. Simsarian, "Cooperative multi-robot box pushing," in Proc. IEEE/RSJ IEEE. Int. Conf. Intelligent Robots and Systems, pp. 235–242, 1995.
  6. T. Balch and R. Arkin, "Behaviour-based formation control for multirobot systems," IEEE Trans. on Robotics and Automation, vol. 14, no. 6, pp. 926–939, 1998.
  7. A. Das, R. Fierro, V. Kumar, J. Ostrowski, J. Spletzerm, and C. Taylor, "A vision-based formation control framework," IEEE Trans. on Robotics and Automation, vol. 18, no. 5, pp. 813–825, 2002.
  8. W. Ren, "Consensus based formation control strategies for multivehicle systems," In Proc. American Control Conference, June 2006.
  9. M. -Y. Chow, S. Chiaverini, and C. Kitts, "Guest Editorial introduction to the focused section on mechatronics in multirobot systems," IEEE/ASME Trans. Mechatronics, vol. 14, no. 2, pp. 133–140, 2009
  10. R. M. Bhatt, C. P. Tang, and V. N. Krovi, "Formation optimization for a fleet of wheeled mobile robots-A geometric approach," Robot. Auton. Syst. , vol. 57, no. 1, pp. 102–120, 2009.
  11. M. Egerstedt and X. Hu, "Formation constrained multi-agent control," IEEE Trans. Robotics and Automation, vol. 17, pp. 947–951, 2001.
  12. J. P. Desai, J. Ostrowski and V. Kumar, "Controlling formations of multiple mobile robots," IEEE International Conference on Robotics & Automation, Belgium, 1998.
  13. M. S. Carlos et al. , "Coordinated control of mobile robots based on artificial vision," International Journal of Computers, Communication & Control, vol. 1, no. 2, pp. 85-94, 2006.
  14. Tilbury D, R. M. Murray, S. S Satry, "Trajectory generation for the n-trailer problem using goursat normal form", IEEE Trans. on Automatic Control, vol. 40, no. 5, 1995.
Index Terms

Computer Science
Information Sciences

Keywords

Multiple robot system formation path tracking nonlinear control law