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Fuzzy Separation Bearing Control for Mobile Robots Formation

Authors: A. Bazoula, H. Maaref

Abstract:

In this article we address the problem of mobile robot formation control. Indeed, the most work, in this domain, have studied extensively classical control for keeping a formation of mobile robots. In this work, we design an FLC (Fuzzy logic Controller) controller for separation and bearing control (SBC). Indeed, the leader mobile robot is controlled to follow an arbitrary reference path, and the follower mobile robot use the FSBC (Fuzzy Separation and Bearing Control) to keep constant relative distance and constant angle to the leader robot. The efficiency and simplicity of this control law has been proven by simulation on different situation.

Keywords: Autonomous mobile robot, Formation control, Fuzzy logic control, Multiple robots, Leader-Follower.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1083321

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References:


[1] Kar-Han Tan , M.A.Lewis, ÔÇÿ-Virtual structures for high precision cooperative control--, technical report, Computer Science Department, University of California, Los Angles, 1997.
[2] W. Ren, R. W. Beard, “A Decentralized scheme for spacecraft formation flying via the virtual structure approach", AIAA Journal of Guidance, Control, & Dynamics, Revised Submission, June 2003.
[3] M. Egerstedt, K. Hu ÔÇÿ-Formation constrained multi-agent control--, proceedings of 2001 IEEE International Conference on Robotics and Automation, pp .3961-3966, Seoul, Korea, May 21-26, 2001.
[4] J.M. Esposito, V. Kumar, ÔÇÿ-A formalism for parallel composition of reactive and deliberative control objectives for mobile robots--, technical report, Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, 2000.
[5] H.Yamgachi, ÔÇÿ-A Cooperative Hunting Behavior by Mobile Robot Troops--, ICRA-98 pp.3204-3209, Leuven Belgium, May 1998
[6] K. Sugihara and I. Suzuki, “Distributed algorithms for formation of geometric patterns with many mobile robots", J. Robot. Syst., Vol. 9, pp.777-790, 2001.
[7] Jose Sanchez and Rafael Fierro, ÔÇÿ-Sliding mode control for robot formations--, Proc. IEEE Int. Symposium on Intelligent Control, Oct. 2003, pp.438-443.
[8] Xiaohai Li, Jizong Xiao, Zijun Cai, ÔÇÿ-Backstepping based multiple mobile robots formation control--, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1313-1318.
[9] A. Luca, G. Oriolo and M. Vendittelli, ÔÇÿ-Control of wheeled mobile robots: An experimental overview--, in RAMSETE - Articulated and Mobile Robotics for Services and Technologies, S. Nicosia, B. Siciliano, A. Bicchi and P. Valigi, Eds. Springer-Verlag, 2001.
[10] G. Oriolo, A. Luca and M. Vandittelli, ÔÇÿ-WMR control via dynamic feedback linearization: design, implementation, and experimental v validation--, IEEE Transactions on Control Systems Technology, vol. 10, no. 6, pp. 835-852, 2002.
[11] G. Klan─ìar, D Matko, S. Blaži─ì, ÔÇÿ-Mobile robot control on a reference path--, Proceedings of the 13th Mediterranean Conference on Control and Automation Limassol, Cyprus, June 27-29, 2005, pp 1343-1348
[12] Y. Kanayama, Y. Kimura, F. Miyazaki, and T. Noguchi, “A stable tracking control scheme for an autonomous mobile robot," in Proceedings IEEE International Conference on Robotics and Automation, 1990, pp. 384-389.
[13] S. G. Tzafestas and G. G. Rigatos, “A simple robust sliding-mode fuzzy logic controller of the diagonal type," J. Intelligent Robotic Systems, vol. 26, pp. 353-388, 1999.
[14] Okyay Kaynak, Kemalettin Erbatur, and Meliksah Ertugrul, ÔÇÿ-The fusion of computationally intelligent methodologies and sliding-mode controlsurvey-- IEEE Transactions on Industrial Electronics, Vol. 48, No. 1, February 2001 pp. 4-17.
[15] T.-H. S. Li and M.-Y. Shieh, “Switching-type fuzzy sliding mode control of a cart-pole system," Mechatronics, vol. 10, pp. 91-109, 2000.