Design of Network Rejoin Policy in Multi-UAVs Flying Ad-hoc Network using Finite Time Convergent Position Control Scheme

S. Gupta, J. K. Mohanta, S. Samanta
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Abstract

Multi-unmanned aerial vehicle systems have several advantages compared to one UAV system, which can be better utilized in different applications such as long-distance surveillance, natural disasters, wildlife welfare, and geology exploration. In this article, we focus on designing a network rejoin policy for a disconnected Unmanned aerial vehicle from the Flying adhoc network(FANET). A finite time convergent chattering free continuous control is also proposed to relocate itself to a neighbor UAV (connected to a network) position. A second-order sliding mode control approach is adopted in position control, which is chattering-free. The finite-time convergence analysis of position, altitude and attitude tracking error is presented. The stability proof of the proposed control scheme is provided using Lyapunov stability criteria. The effectiveness of the proposed control scheme and network rejoin policy is presented through numerical simulations. The proposed control scheme is also compared with existing sliding mode-based methods and performance evaluation is also presented in terms of an increasing number of UAVs in the ad-hoc network.
基于有限时间收敛位置控制方案的多无人机自组织网络网络重新加入策略设计
与一架无人机系统相比,多架无人机系统具有几个优势,可以更好地用于不同的应用,如远程监视,自然灾害,野生动物福利和地质勘探。在本文中,我们的重点是设计一个网络重新加入策略从飞行自组网(FANET)断开的无人机。提出了一种有限时间收敛无抖振连续控制方法,用于将自身重新定位到连接网络的相邻无人机位置。位置控制采用二阶滑模控制方法,无抖振。给出了位置、高度和姿态跟踪误差的有限时间收敛分析。利用Lyapunov稳定性判据给出了该控制方案的稳定性证明。通过数值仿真验证了所提出的控制方案和网络重新连接策略的有效性。将所提出的控制方案与现有的基于滑模的控制方法进行了比较,并对自组织网络中无人机数量的增加进行了性能评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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