Compliant Formation Control of a Multi-Vehicle System

Erica Z. MacArthur, C. Crane
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引用次数: 13

Abstract

This research identifies a strategy called compliant formation control, which may be used to coordinate the navigational structure of a team of autonomous vehicles. This technique controls the team's motion based on a given, desired formation shape and a given, desired set of neighboring separation distances, wherein the formation shape is considered general two-dimensional. The strategy establishes how to select, place, and use virtual springs and dampers that conceptually "force" proper interspacing between neighboring team members. The objective is to continuously maintain, in the most optimal way, the desired formation as team motion proceeds. In practice, actual robot separation distances will be measured relative to smarter, leader robots that have known position and orientation information at all times (e.g., GPS or INS). The control strategy subsequently commands, in an optimal way, each vehicle by providing a heading and velocity necessary to maintain the desired formation. Such requisite commands result from modeling the compliant displacements of team members as they travel in a network of virtual springs and dampers. The equations used to achieve coordinated motion of the robot team will be discussed and specific case studies will be presented to demonstrate the effectiveness of the compliant formation control strategy.
多车系统的柔性编队控制
这项研究确定了一种称为顺应编队控制的策略,可用于协调自动驾驶车辆团队的导航结构。该技术基于给定的、期望的地层形状和给定的、期望的相邻分离距离集来控制团队的运动,其中地层形状被认为是一般的二维。该策略确定了如何选择、放置和使用虚拟弹簧和阻尼器,在概念上“强制”相邻团队成员之间适当的间距。目标是以最优的方式,在团队运动的过程中持续保持理想的队形。在实践中,实际的机器人分离距离将相对于那些在任何时候都知道位置和方向信息的更智能的领先机器人(例如GPS或INS)进行测量。控制策略随后以最优的方式,通过提供所需的航向和速度来控制每辆车,以保持所需的队形。当团队成员在虚拟弹簧和阻尼器网络中行进时,这些必要的命令来自于对团队成员的柔性位移进行建模。将讨论用于实现机器人团队协调运动的方程,并提出具体的案例研究来证明柔性编队控制策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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