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A formation maneuvering controller for multiple non-holonomic robotic vehicles

机译:用于多种非完整机器人车辆的编队操纵控制器

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摘要

In this paper, we present a new leader-follower type solution to the translational maneuvering problem for formations of multiple, non-holonomic wheeled mobile robots. The solution is based on the graph that models the coordination among the robots being a spanning tree. Our control law incorporates two types of position errors: individual tracking errors and coordination errors for leader-follower pairs in the spanning tree. The control ensures that the robots globally acquire a given planar formation while the formation as a whole globally tracks a desired trajectory, both with uniformly ultimately bounded errors. The control law is first designed at the kinematic level and then extended to the dynamic level. In the latter, we consider that parametric uncertainty exists in the equations of motion. These uncertainties are accounted for by employing an adaptive control scheme. The main contributions of this work are that the proposed control scheme minimizes the number of control links and global position measurements, and accounts for the uncertain vehicle dynamics The proposed formation maneuvering controls are demonstrated experimentally and numerically.
机译:在本文中,我们提出了一种新的领导者跟随型解决方案,用于解决多个非完整的轮式移动机器人的平移操纵问题。该解决方案基于将机器人之间的协调建模为生成树的图形。我们的控制法则包含两种类型的位置误差:生成树中领导者/跟随者对的个体跟踪误差和协调误差。该控制可确保机器人全局获取给定的平面编队,而整个编队整体上跟踪所需的轨迹,两者均具有统一的最终边界误差。控制律首先在运动学水平上设计,然后扩展到动态水平。在后者中,我们认为运动方程中存在参数不确定性。这些不确定性是通过采用自适应控制方案解决的。这项工作的主要贡献在于,所提出的控制方案可最大程度地减少控制链接和全球位置测量的数量,并解决不确定的车辆动力学问题。所提出的编队操纵控制已通过实验和数值方法进行了证明。

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