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基于物联网的多无人机协作能耗控制算法仿真 被引量:1

Simulation of Multi-UAV Cooperative Energy Consumption Control Algorithm Based on Internet of Things
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摘要 目前提出的多无人机协作能耗控制算法消耗能耗过高,导致控制时间过长。为了解决上述问题,引入物联网技术设计了一种新的多无人机协作能耗控制算法。分析瞬时能耗、拥塞能耗以及路径能耗,比较不同路径下无人机协作能耗的数值,选择一条能耗最低的路径,控制无人机的能量损耗。通过物联网技术结合多无人机协作操作过程中的机器发射端和接收端的介质变化值、无人机脉冲值,以椭圆坐标系为基础,以上指标为数据,构建一个多无人机协作能耗预测模型,计算出预测多无人机协作能量消耗值后,通过物联网技术查询相对应无人机消耗的标准指标,实现信息控制。仿真结果表明,基于物联网的多无人机协作能耗控制算法能够有效降低消耗能耗,缩短控制时长,有效解决传统多无人机协作能耗控制算法存在的问题。 The traditional multi-UAV cooperative energy consumption control algorithm has the disadvantages of high energy consumption and long control time.Therefore,we introduce the Internet of things technology to design a novel multi-UAV cooperative energy consumption control algorithm.Instantaneous energy consumption,congestion energy consumption and path energy consumption were investigated in detail.The values of UAV cooperative energy consumption under different paths were compared in order to select the path with the lowest energy consumption,thus controlling the energy loss of UAV.Internet of things technology was combined with the medium change value of the transmitter and receiver of the machine and the impulse value of the UAV in the process of cooperative operation of multiple UAVs.Based on the elliptic coordinate system and the above indexes,a multi-UAV cooperative energy consumption prediction model was founded.The predicted energy consumption of multi-UAV cooperation was calculated.Eventually,the corresponding standard indicators of UAV consumption were queried according to the Internet of things technology,completing information control.The simulation results show that the algorithm not only effectively reduces energy consumption,but also shortens the control time.
作者 匡银虎 张虹波 KUANG Yin-hu;ZHANG Hong-bo(School of Physics and Electronic-Electrical Engineering,Ningxia University,Yinchuan Ningxia 750021,China)
出处 《计算机仿真》 北大核心 2023年第2期454-458,共5页 Computer Simulation
基金 教育部产学合作协同育人项目(201802022043) 宁夏回族自治区重点研发计划重大(重点)课题(2018BBF0202204)。
关键词 物联网技术 多无人机协作 能耗分析 控制算法 Internet of things technology Multi-UAV collaboration Energy consumption analysis Control algorithm
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