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首页> 外文期刊>Polish maritime research >Motion Control and Collision Avoidance Algorithms for Unmanned Surface Vehicle Swarm in Practical Maritime Environment
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Motion Control and Collision Avoidance Algorithms for Unmanned Surface Vehicle Swarm in Practical Maritime Environment

机译:实际海洋环境中无人曲面车辆群的运动控制和碰撞避免算法

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摘要

The issue of controlling a swarm of autonomous unmanned surface vehicles (USVs) in a practical maritime environment is studied in this paper. A hierarchical control framework associated with control algorithms for the USV swarm is proposed. In order to implement the distributed control of the autonomous swarm, the control framework is divided into three task layers. The first layer is the tele-operated task layer, which delivers the human operatora??s command to the remote USV swarm. The second layer deals with autonomous tasks (i.e. swarm dispersion, or avoidance of obstacles and/or inner-USV collisions), which are defined by specific mathematical functions. The third layer is the control allocation layer, in which the control inputs are designed by applying the sliding mode control method. The motion controller is proved asymptotically stable by using the Lyapunov method. Numerical simulation of USV swarm motion is used to verify the effectiveness of the control framework.
机译:本文研究了在实际的海洋环境中控制一个自主无人面车辆(USV)的群体的问题。提出了与USV群的控制算法相关联的分层控制框架。为了实现自主群的分布式控制,控制框架被分成三个任务层。第一层是远程操作的任务层,它将人类运营商传送到远程USV群中的命令。第二层处理自主任务(即群体分散,或避免障碍物和/或内USV碰撞),其由特定的数学函数定义。第三层是控制分配层,其中通过施加滑动模式控制方法设计控制输入。通过使用Lyapunov方法,可以证明运动控制器渐近稳定。 USV群体运动的数值模拟用于验证控制框架的有效性。

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