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Mixed Fuzzy Sliding-Mode Tracking with Backstepping Formation Control for Multi-Nonholonomic Mobile Robots Subject to Uncertainties

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Abstract

This paper aims at attaining one-leader & two-followers (1L-2F) formation control of multi-nonholonomic mobile robot (multi-NMR) systems subject to uncertainties and, at the same time, achieves trajectory-tracking of the leader NMR. To begin, the tracking error between the leader and a virtual reference robot is defined. Then, the extension to a leader-follower formation control structure is utilized to define the formation error (i.e., separation and orientation errors) between the leader and the followers. It has been proven that fuzzy sliding-mode tracking control (FSMTC) and backstepping formation control (BFC) can improve performance and stability when the overall closed-loop system is subject to uncertainties. Therefore, FSMTC and BFC are used for trajectory tracking of the leader NMR and formation control for two followers with respect to the leader, respectively. The stability of the closed-loop multi-NMR systems, i.e., trajectory tracking and formation control, is demonstrated through Lyapunov stability criteria. Finally, to validate the theoretical developments, computer simulations are conducted which prove the effectiveness, efficiency and robustness of the proposed scheme.

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References

  1. Kwon, J.-W., Chwa, D.: Hierarchical formation control based on a vector field method for wheeled mobile robots. IEEE Trans. Robot 28(6), 1335–1345 (2012)

    Article  Google Scholar 

  2. Hernandez-Martinez, E.G., Aranda-Bricaire, E.: Multi-agent formation control with collision avoidance based on discontinuous vector fields. In: Proceedings of the IEEE International Conference Industrial Electronics, pp 2283–2288 (2009)

  3. Hsu, H.C.-H., Liu, A.: Multiagent-based multi-team formation control for mobile robots. J. of Intelligent Robotic Systems 42(4), 337–360 (2005)

    Article  Google Scholar 

  4. Balch, T., Arkin, R.C.: Behavior-based formation control for multirobot teams. IEEE Trans. Robot. Autom. 14(6), 926–939 (1998)

    Article  Google Scholar 

  5. Rezaee, H., Abdollahi, F.: A decentralized cooperative control scheme with obstacle avoidance for a team of mobile robots. IEEE Trans. Ind. Electron. 61(1), 347–354 (2014)

    Article  Google Scholar 

  6. Zhang, Q., Lapierre, L., Xiang, X.: Distributed control of coordinated path tracking for networked nonholonomic mobile vehicles. IEEE Trans. Ind. Informatics 9(1), 472–484 (2013)

    Article  Google Scholar 

  7. Vela, P., Betser, A., Malcolm, J., Tannenbaum, A.: Vision-based range regulation of a leader-follower formation. IEEE Trans. Contr. Syst. Technol. 17(2), 442–448 (2009)

    Article  Google Scholar 

  8. Gu, D., Yang, E.: Fuzzy policy reinforcement learning in cooperative multi-robot systems. J. of Intelligent Robotic Systems 48(1), 7–22 (2007)

    Article  Google Scholar 

  9. Mehrjerdi, H., Saad, M., Ghommam, J.: Hierarchical fuzzy cooperative control and path following for a team of mobile robots. IEEE/ASME Trans. Mechatronics 16(5), 907–917 (2011)

    Article  Google Scholar 

  10. Dierks, T., Jagannathan, S.: Neural network output feedback control of robot formation. IEEE Trans. Syst., Man and Cybern. 40(2), 383–399 (2010)

    Article  Google Scholar 

  11. Dierks, T., Brenner, B., Jagannathan, S.: Neural network-based optimal control of mobile robot formations with reduced information exchange. IEEE Trans. Contr. Syst. Technol. 21(4), 1407–1415 (2013)

    Article  Google Scholar 

  12. Defoort, M., Floquet, T., Kokosy, A., Perruquetti, W.: Sliding-mode formation control for cooperative autonomous mobile robots. IEEE Trans. Ind. Electron. 55(11), 3944–3953 (2010)

    Article  Google Scholar 

  13. Chang, Y.H., Chang, C.W., Chen, C.L., Tao, C.W.: Fuzzy sliding-mode formation control for multirobot systems: Design and implementation. IEEE Trans. Syst., Man and Cybern. 42(2), 444–457 (2012)

    Article  Google Scholar 

  14. Mariottini, G.L., Morbidi, F., Prattichizzo, D., Vander Valk, N., Michael, N., Pappas, G., Daniilidis, K.: Vision-Based localization for leader-follower formation control. IEEE Trans. Robot. 25(6), 1431–1438 (2009)

    Article  Google Scholar 

  15. Ranjbar-Sahraei, B., Shabaninia, F., Nemati, A., Stan, S.: A novel robust decentralized adaptive fuzzy control for swarm formation of multiagent. IEEE Trans. Ind. Electron. 59(8), 3124–3134 (2012)

    Article  Google Scholar 

  16. Fierro, R., Lewis, F.L.: Control of a nonholonomic mobile robot using neural networks. IEEE Trans. Neural Networks 9(4), 389–400 (1998)

    Article  Google Scholar 

  17. Dierks, T., Jagannathan, S.: Neural network control of mobile robot formations using rise feedback. IEEE Trans. Syst., Man and Cybern. 39(2), 332–347 (2009)

    Article  Google Scholar 

  18. Egerstedt, M., Hu, X., Stotsky, A.: Control of mobile platforms using a virtual vehicle approach. IEEE Trans. Automat. Contr. 46(11), 1777–1782 (2010)

    Article  MathSciNet  Google Scholar 

  19. Kanayama, Y., Kimura, Y., Miyazaki, F., Noguchi, T.: A stable tracking control method for an autonomous mobile robot. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp 384–389 (1990)

  20. Khalil, H.K.: Nonlinear Systems, 2nd edn. Prentice-Hall, Upper Saddle River, NJ 07458 (1996)

  21. Hwang, C.L., Chang, L.J., Yu, Y.S.: Network-based fuzzy decentralized sliding-mode control for car-like mobile robots. IEEE Trans. Ind. Electron. 54(1), 574–585 (2007)

    Article  Google Scholar 

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Correspondence to Hsiu-Ming Wu.

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Wu, HM., Karkoub, M. & Hwang, CL. Mixed Fuzzy Sliding-Mode Tracking with Backstepping Formation Control for Multi-Nonholonomic Mobile Robots Subject to Uncertainties. J Intell Robot Syst 79, 73–86 (2015). https://doi.org/10.1007/s10846-014-0131-9

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  • DOI: https://doi.org/10.1007/s10846-014-0131-9

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