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基于事件触发的高压输电线路巡检无人机故障检测

Event-triggered Based FD for High-voltage Transmission Line Inspection UAVs

  • 摘要: 电力系统中高压输电线路常位于复杂恶劣的自然环境中,定期巡视和维护这些线路至关重要。无人机技术的应用,使得输电线路的自动化巡检和监测成为可能,但无人机系统难免会发生故障,且无人机与地面站故障检测单元间持续的通信会耗费有限的网络资源。鉴于此,设计了基于事件触发故障检测方法,针对高压输电线路巡检无人机的变采样周期线性离散时间模型,设计故障检测滤波器,实现了残差信号与事件触发传输误差的解耦。实验平台借助MATLAB的TrueTime仿真工具箱模拟网络传输干扰(丢包、时延)影响,结果表明在一定的网络传输干扰影响下,所提方法可以实现某巡检无人机横侧向系统的故障检测。

     

    Abstract: High-voltage transmission lines in power systems are frequently located in harsh natural environments. Regular inspection and maintenance of these lines is crucial. Automatic inspection and monitoring of transmission lines is becoming possible with the application of unmanned aerial vehicle(UAV) technology. However, UAV system is inevitably prone to fault. And the constant communication between the UAV and the ground station FD element will consume limited network resources. Given this, an event-triggered based FD scheme is designed. The decoupling of residual signals and event-triggered transmission errors is implemented by designing FD filters for the variable-sampling-period linear discrete-time model of high-voltage transmission line inspection UAVs. An experimental platform is used to simulate the effect of network transmission disturbances(packet loss, delay) with the help of MATLAB TrueTime toolbox. The results show that the method can realize the event-triggered FD for the transversal lateral system of inspection UAVs in the influence of network transmission interference.

     

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