论文标题

双人无人机运输系统的非线性合作控制

Nonlinear Cooperative Control of Double Drone-Bar Transportation System

论文作者

Zhang, Peng, Fang, Yongchun, Liang, Xiao, Lin, He, He, Wei

论文摘要

由于无人机的负载能力限制,需要通过多个无人机协作来完成各种特定任务。在某些运输任务中,需要两次无人机来增加负载,这给控制问题带来了更大的挑战,因为运输系统不足,并且包含非常复杂的动态耦合。在运输条形物体时,应仔细考虑负载的态度,绳索的摆动运动以及无人机之间的距离,以确保系统的安全性。到目前为止,很少有针对双人无人机运输系统实施的作品来保证其运输性能,尤其是在上述方面。在本文中,提出了一种非线性合作控制方法,并通过严格的稳定性分析和实验结果表明其表现出色。无需区分领导者与追随者之间的身份,该提出的方法成功地分别实现了两个无人机的有效控制,主要是对系统动力学的深入分析以及对控制法的精心设计。通过利用Lyapunov技术,所提出的控制器可以同时实现无人机的同时定位和相互距离控制,同时,它有效地消除了负载的摆动。提出了飞行实验,以证明拟议的非线性合作控制策略的性能。

Due to the limitation of the drone's load capacity, various specific tasks need to be accomplished by multiple drones in collaboration. In some transportation tasks, two drones are required to lift the load together, which brings even more significant challenges to the control problem because the transportation system is underactuated and it contains very complex dynamic coupling. When transporting bar-shaped objects, the load's attitude, the rope's swing motion, as well as the distance between the drones, should be carefully considered to ensure the security of the system. So far, few works have been implemented for double drone transportation systems to guarantee their transportation performance, especially in the aforementioned aspect. In this paper, a nonlinear cooperative control method is proposed, with both rigorous stability analysis and experimental results demonstrating its great performance. Without the need to distinguish the identities between the leader and the follower, the proposed method successfully realizes effective control for the two drones separately, mainly owning to the deep analysis for the system dynamics and the elaborate design for the control law. By utilizing Lyapunov techniques, the proposed controller achieves simultaneous positioning and mutual distance control of the drones, meanwhile, it efficiently eliminates the swing of the load. Flight experiments are presented to demonstrate the performance of the proposed nonlinear cooperative control strategy.

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