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Asymptotic Adaptive Neural Network Tracking Control of Nonholonomic Mobile Robot Formations

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Abstract

In this paper, asymptotically stable control laws are developed for leader–follower based formation control using backstepping in order to accommodate the dynamics of the robots and the formation. First, a kinematic controller is developed around control strategies for single mobile robots and the idea of virtual leaders. The virtual leader is replaced with a physical mobile robot leader, and an auxiliary velocity control law is developed in order to prove the global asymptotic stability of the followers which in turn allows the local asymptotic stability of the entire formation. A novel approach is taken in the development of the dynamical controller such that the torque control inputs for the follower robots include the dynamics of the follower robot as well as the dynamics of its leader, and two cases are considered—the case when the robot dynamics are known and the case when they are unknown. In the first case, a robust adaptive control term is utilized to account for unmodeled dynamics. For the latter, a robust adaptive term is augmented with a NN control law to achieve asymptotic tracking performance in contrast with most NN controllers where a bounded tracking error result is shown. Additionally, the NN approximation error is assumed to be a function of tracking errors instead of a constant upper bound, which is commonly found in the literature. The stability of the follower robots as well as the entire formation is demonstrated in each case using Lyapunov methods and numerical results are provided.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Missouri University of Science and Technology (formerly University of Missouri-Rolla), 1870 Miner Circle, Rolla, MO, 65409, USA

    Travis Dierks & S. Jagannathan

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  1. Travis Dierks
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  2. S. Jagannathan
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Correspondence to Travis Dierks.

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Research supported in part by GAANN Program through the Department of Education and Intelligent Systems Center.

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Dierks, T., Jagannathan, S. Asymptotic Adaptive Neural Network Tracking Control of Nonholonomic Mobile Robot Formations. J Intell Robot Syst 56, 153–176 (2009). https://doi.org/10.1007/s10846-009-9336-8

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  • DOI: https://doi.org/10.1007/s10846-009-9336-8

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