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An improved multiple UAVs cooperative flight algorithm based on Leader Follower strategy

机译:基于领导者跟随者策略的改进型多无人机协同飞行算法

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With the development of micro unmanned aerial vehicles (UAVs), the UAVs have broad prospects and social needs in many fields such as disaster rescue, fire alarm, road reconnaissance, logistics transportation and so on. Compared to the single drone, multiple UAVs cooperation can enhance the efficiency and the capacity on load handling. In this paper, an improved multiple UAVs cooperative flight algorithm is proposed based on Leader Follower strategy. The Ultra Wide Band (UWB) ranging modules are applied to multiple UAVs cooperative flight, the relative distance between the UAVs provided by the UWB modules and the segmented waypoints GPS information are combined to achieve a cooperative flight. The cooperative algorithm consists of two main parts: the relative distance control is based on ESO (extended state observer), which can effectively guarantee the movement consistency and avoid the collision during flight; the transverse correction algorithm can ensure the following UAV track the leader tightly by segmented waypoints GPS information. Compared to the original Leader Follower strategy, this algorithm does not need complex communication protocols and higher real-time information processing ability. Meanwhile, it can achieve cooperative flight even when there exists a larger disturbance.
机译:随着微型无人机的发展,无人机在救灾,火灾报警,道路侦察,物流运输等许多领域具有广阔的前景和社会需求。与单架无人机相比,多架无人机的协作可以提高效率和负荷处理能力。本文提出了一种基于领导者跟随者策略的改进型多无人机协同飞行算法。将超宽带(UWB)测距模块应用于多个UAV协同飞行,将UWB模块提供的UAV与分段航路点GPS信息之间的相对距离相结合,以实现协同飞行。协同算法包括两个主要部分:相对距离控制基于ESO(扩展状态观察器),可以有效地保证运动的一致性,避免飞行过程中的碰撞。横向校正算法可以通过分段航路点GPS信息,确保随后的无人机紧紧跟踪领导者。与原始的Leader Follower策略相比,该算法不需要复杂的通信协议和更高的实时信息处理能力。同时,即使存在较大的干扰,也可以实现协同飞行。

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