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Proceedings Paper

Decentralized control algorithms of a group of vehicles in 2D space
Author(s): V. Kh. Pshikhopov; M. Yu. Medvedev; R. V. Fedorenko; B. V. Gurenko
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Paper Abstract

The problem of decentralized control of group of robots, described by kinematic and dynamic equations of motion in the plane, is considered. Group performs predetermined rectangular area passing at a fixed speed, keeping the line and a uniform distribution. The environment may contain a priori unknown moving or stationary obstacles. Decentralized control algorithms, based on the formation of repellers in the state space of robots, are proposed. These repellers form repulsive forces generated by dynamic subsystems that extend the state space of robots. These repulsive forces are dynamic functions of distances and velocities of robots in the area of operation of the group. The process of formation of repellers allows to take into account the dynamic properties of robots, such as the maximum speed and acceleration. The robots local control law formulas are derived based on positionally-trajectory control method, which allows to operate with non-linear models. Lyapunov function in the form of a quadratic function of the state variables is constructed to obtain a nonlinear closed-loop control system. Due to the fact that a closed system is decomposed into two independent subsystems Lyapunov function is also constructed as two independent functions. Numerical simulation of the motion of a group of five robots is presented. In this simulation obstacles are presented by the boundaries of working area and a movable object of a given radius, moving rectilinear and uniform. Obstacle speed is comparable to the speeds of the robots in a group. The advantage of the proposed method is ensuring the stability of the trajectories and consideration of the limitations on the speed and acceleration at the trajectory planning stage. Proposed approach can be used for more general robots’ models, including robots in the three-dimensional environment.

Paper Details

Date Published: 8 February 2017
PDF: 8 pages
Proc. SPIE 10253, 2016 International Conference on Robotics and Machine Vision, 102530M (8 February 2017); doi: 10.1117/12.2266499
Show Author Affiliations
V. Kh. Pshikhopov, Southern Federal Univ. (Russian Federation)
M. Yu. Medvedev, Southern Federal Univ. (Russian Federation)
R. V. Fedorenko, Southern Federal Univ. (Russian Federation)
B. V. Gurenko, Southern Federal Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 10253:
2016 International Conference on Robotics and Machine Vision
Alexander V. Bernstein; Adrian Olaru; Jianhong Zhou, Editor(s)

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