Fuzzy logic controller for cooperative mobile robotics implemented in leader-follower formation approach

Authors

  • Manuel Alejandro Molina-Villa Militar University of New Granada
  • Daniel Ricardo Avendaño-Flórez Militar University of New Granada
  • Leonardo Enrique Solaque-Guzmán Militar University of New Granada https://orcid.org/0000-0002-2773-1028
  • Nelson Fernando Velasco-Toledo Militar University of New Granada

DOI:

https://doi.org/10.17533/udea.redin.n76a03

Keywords:

cooperative robotics, mobile robotics, fuzzy logic control, leader-follower, control systems

Abstract

This paper presents the design of a fuzzy logic cooperative control by implementing the leader-follower approach that allows establishing and maintaining a specific geometric formation to a mobile robot group while they are moving along a predefined trajectory. As a result of the research, it was proved by simulation a cooperative control system that permits a set of robots to keep a specific formation while the group performs a predetermined mission. This control system helps to avoid obstacles by modifying the formation or by changing the leader inside the group.

|Abstract
= 348 veces | PDF
= 228 veces|

Downloads

Download data is not yet available.

Author Biographies

Manuel Alejandro Molina-Villa, Militar University of New Granada

Research Group in Development of Mechatronics Applications (GIDAM), Faculty of Engineering.

Daniel Ricardo Avendaño-Flórez, Militar University of New Granada

Research Group in Development of Mechatronics Applications (GIDAM), Faculty of Engineering.

Leonardo Enrique Solaque-Guzmán, Militar University of New Granada

Research Group in Development of Mechatronics Applications (GIDAM), Faculty of Engineering.

Nelson Fernando Velasco-Toledo, Militar University of New Granada

Research Group in Development of Mechatronics Applications (GIDAM), Faculty of Engineering.

References

K. Ng, M. Trivedi. Multirobot convoying using neuro- fuzzy control. Proceedings of the 13th International Conference on Pattern Recognition. Vol. 4. Vienna, Austria. 1996. pp. 417-421.

P. Varaiya. “Smart cars on smart roads: problems of control”. IEEE Transactions on Automatic Control. Vol. 38. 1993. pp. 195-207.

M. Sisto, D. Gu. A fuzzy leader-follower approach to formation control of multiple mobile robots. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems. Beijing, China. 2006. pp. 2515- 2520.

I. Nourbakhsh, K. Sycara, M. Koes, M. Yong, M. Lewis, S. Burion. “Human-robot teaming for search and rescue”. IEEE Pervasive Computing. Vol. 4. 2005. pp. 72- 78.

M. Ghiasvand, K. Alipour. Formation control of wheeled mobile robots based on fuzzy logic and system dynamics. Proceedings of the 13th Iranian Conference on Fuzzy Systems (IFSC). Qazvin, Iran. 2013. pp. 1-6.

B. Young, R. Beard, J. Kelsey. A control scheme for improving multi-vehicle formation maneuvers. Proceedings of the American Control Conference. Vol. 2. Arlington, USA. 2001. pp. 704-709.

P. Tabuada, G. Pappas, P. Lima. Feasible formations of multi-agent systems. Proceedings of the American Control Conference. Vol. 1. Arlington, USA. 2001. pp. 56-61.

M. Amoozgar, K. Alipour, S. Sadati, M. Dehsara. Position control of multiple wheeled mobile robots using fuzzy logic. Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). Montreal, Canada. 2010. pp. 587-592.

P. Song, A coordination framework for weakly centralized mobile robot teams. Proceedings of the IEEE International Conference on Information and Automation (ICIA). Harbin, China. 2010. pp. 77-82.

H. Mehrjerdi. “Hierarchical fuzzy cooperative control and path following for a team of mobile robots”. IEEE/ ASME Transactions on Mechatronics. Vol. 16. 2011. pp. 907-917.

X. Li, “Robot formation control in leader-follower motion using direct Lyapunov method”. International Journal of Intelligent Control and Systems. Vol. 10. 2005. pp. 244-250.

A. Brandao, M. Sarcinelli, R. Carelli, T. Bastos. Decentralized control of leader-follower formations of mobile robots with obstacle avoidance. Proceedings of the IEEE International Conference on Mechatronics (ICM). Malaga, Spain. 2009. pp. 1-6.

A. Saffiotti. “The uses of fuzzy logic in autonomous robot navigation”. Soft Computing. Vol. 1. 1997. pp. 180- 197.

M. Molina, N. Velasco, L. Solaque, A. Riveros. Decentralized cooperative control technique for non- holonomic mobile formation. Proceedings of the III International Congress of Engineering Mechatronics and Automation (CIIMA). Cartagena, Colombia. 2014. pp. 1-5

J. Veerman, G. Lafferriere, J. Caughman, A. Williams. “Decentralized control of vehicle formations”. Systems & Control Letters. Vol. 54. 2005. pp. 899-910.

J. Veerman, G. Lafferriere, J.S. Caughman, A. Williams. “Flocks and formations”. Journal of Statistical Physics. Vol. 121. 2005. pp. 901-936.

F. Bravo, D. Patino, K. Melo, C. Parra. Switching control and modeling of mobile robots formation. Proceedings of the IEEE IX Latin American and IEEE Colombian Conference on Automatic Control and Industry Applications (LARC) Robotics Symposium. Bogotá, Colombia. 2011. pp. 1-6.

K. Mathia, G. Lafferriere, T. Titensor. Cooperative control of UAV platoons – a prototype. Proceedings of the Euro UAV Conference and Exhibition. Paris, France. 2007. pp. 1-12.

A. Williams, G. Lafferriere, J. Veerman. Stable motions of vehicle formations. Proceedings of the 44th IEEE Conference on Decision and Control, and European Control Conference (CDC-ECC). Seville, Spain. 2005. pp. 72-77.

J. Fax, R. Murray. “Information flow and cooperative control of vehicle formations”. IEEE Transactions on Automatic Control. Vol. 49. 2004. pp. 1465-1476.

Downloads

Published

2015-09-23

How to Cite

Molina-Villa, M. A., Avendaño-Flórez, D. R., Solaque-Guzmán, L. E., & Velasco-Toledo, N. F. (2015). Fuzzy logic controller for cooperative mobile robotics implemented in leader-follower formation approach. Revista Facultad De Ingeniería Universidad De Antioquia, (76), 19–29. https://doi.org/10.17533/udea.redin.n76a03