基于鲁棒容错机制的随机时延不确定性全局网格检测无人机信息通信网络协商

Jie Shen, Wenqing Dong, Zhi-fang Wang, Jing Wang, Yang Wang, Hanming Liu, Haiyan Li
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引用次数: 0

摘要

为了准确模拟未来全球网格系统中无人机间信息通信的干扰机制,提出了一种基于卫星通信网络动态仿真和随机时延不确定网络系统鲁棒容错的控制方法。基于未来全球能源互联网的假想,在信息未知和通信干扰的情况下,采用鲁棒容错控制算法和结合控制器数学模型的卫星通信网络模型,建立了无人机从传感器到执行器的网络时延模型。仿真结果表明,在网络时延和信息通信干扰不确定的情况下,采用网络容错控制机制提高了无人机的功率传输能力和通信覆盖能力。稳定性和抗干扰性能也得到了显著提高。该算法为未来全球能源互联网的发展提供了一种策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Negotiation of the global grid inspection UAV with random delay uncertainty in an information communication network based on a robust fault tolerance mechanism
To accurately simulate the interference mechanism of information communication between unmanned aerial vehicles (UAVs) in the future global grid system, a type of control based on dynamic simulation of the satellite communication network and robust fault tolerance with a stochastic delay uncertain network system is proposed. Based on the imaginary future of the global energy Internet, with unknown information and communication interference, we established a UAV model from sensor to actuator network delay using a robust, fault-tolerant control algorithm and a satellite communication network model that combined the controller’s mathematical model. The simulation results showed improved power transmission capability and communication coverage ability of UAVs by using the network fault-tolerant control mechanism with uncertain network delay and information communication interference. The stability and anti-interference performance was also significantly improved. This algorithm provides a strategy for the future development of global energy Internet.
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