摘要
基于无人机的智能配电网故障定位在实际应用中面临无线网络资源利用率和控制系统稳定性不足的问题,文中提出一种基于周期事件触发采样(PETS)和双速率控制技术的无线网络数据技术。与传统的时间触发采样(TTS)模式相比,该控制方案能够有效降低网络带宽利用率和数据传输次数,从而保证无线网络控制系统的稳定性。在仿真系统和在无人机试验平台上的实验结果验证了该无线网络控制技术的主要优点。
UAV-based intelligent power distribution network fault location system faces the problems of wireless network resource utilization and insufficient control system stability in practical applications.To this end,a wireless network data technology is proposed based on periodic event triggered sampling(PETS)and dual rate control technology.Compared with the traditional time-triggered sampling(TTS)mode,this control scheme can effectively reduce network bandwidth utilization and data transmission times,thereby ensuring the stability of wireless network control systems.The experimental results on the simulation system and on the UAV test platform verify the main advantages of the wireless network control technology.
作者
汪剑波
高明亮
许德阳
孙笑一
钱叶牛
WANG Jian-bo;GAO Ming-liang;XU De-yang;SUN Xiao-yi;QIAN Ye-niu(State Grid Beijing Electric Power Company,Beijing 100031,China)
出处
《信息技术》
2020年第6期139-144,共6页
Information Technology
关键词
事件触发采样
无线网络控制系统
多速率控制
无人机
event triggered sampling
wireless network control system
multi-rate control
unmanned aerial vehicle
