多无人驾驶车辆编队控制与协调研究:正常与故障情况

Youmin Zhang, H. Mehrjerdi
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引用次数: 89

摘要

本文从应用和分类两方面综述了近年来发展起来的无人车队轨迹/路径跟踪、协调和统一群体行为的策略和方法。正在研究的无人驾驶车辆有一个共同的任务,即在已知或未知环境中保持群体队形并到达目标目的地。一组车辆沿着单个路径的能力是实现群体协调的第一个关键步骤,它起源于使用单个车辆的路径跟踪。一旦这种技术得到改进,就可以探索各种算法结构,以创建高效和谐的群体协调,这取决于它们是在集中还是分散系统中使用的独创性。本文以1986年以来140余篇已发表的文献为基础,对多车在信息作战中的各种应用进行了调查和分析,并对现有作品进行了分类。同时也指出了一些挑战和未来的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A survey on multiple unmanned vehicles formation control and coordination: Normal and fault situations
This paper provides a review on the strategies and methodologies developed in recent years for trajectory/path following, coordination and unified group behavior of a team of unmanned vehicles in terms of application and categorization. The unmanned vehicles being studied have a common mission to maintain group formation and reach their target destinations in either known or unknown environments. The ability for a group of vehicles to follow individual paths is the first critical step in achieving group coordination and originates from path following employing a single vehicle. Once this technique is refined then various algorithm constructs can be explored in order to create efficient and harmonious group coordination, which is based on their originality on whether they are employed in a centralized or decentralized system. In this paper, survey and analysis on the various multi-vehicle applications in formation operation and categorizations of existing works are provided based on over 140 published literatures since 1986. A few challenges and future works are also recognized.
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