Research On UAV Flying Path Planning Method For Wireless Power Transfer Systems

With the development of the technology and scale of the Internet of Things,the importance of environmental monitoring of the Internet of Things gradually increases.The sensor network based on wireless power transfer is expected to be the core technology of the next generation of environment monitoring for the Internet of Things.The unmanned aerial vehicle(UAV)with small size,strong mobility and flexible use can carry the transmitter unit of wireless power transfer systems to assist in energy transmission and information sensing,improve the service life of sensor network.Due to the limited battery capacity of the UAV,how to reduce the flight distance and the total energy consumption of the systems through flying path optimization becomes a challenge for wireless power transfer.Most of the existing research adopts the way of setting up stop points to optimize the UAV flying path in small-scale scene.However,the stop points reduce the energy transmission efficiency of the UAV in the flight process,and the small-scale scene limits the practical application scope.In this thesis,firstly,through personal digital assistant and wireless passive temperature sensors,we debug the application of personal digital assistant to build a wireless energy transmission system with simple operation and visible results which realizes the wireless energy transmission and temperature sensing in a short distance.Then,using the above system,the optimal deployment of wireless power transfer systems is compared,and the signal strength attenuation model of wireless power transfer systems is measured.This model is based on the real data,which reflects the actual channel situation better.Afterwards,the UAV-based wireless power transfer model in multi-user,long-distance and large-scale scenarios is established.This thesis aims at researching how to use UAV to meet the energy requirements of all passive sensors in the scene and collect environmental data.At the same time,based on this premise,research how to reduce the total flight distance and energy consumption of the system,and the corresponding optimization model is put forward.Finally,considering the mode of the UAV flies and wireless power transfers at the same time,a spectral-clustering-enabled approach is proposed adopting the above strength attenuation model obtained from experiments to optimize the flying path of UAV for wireless power transfer systems.Simulation results show that,compared with existing research,proposed solution can effectively reduce the total flight distance of the UAV in the UAV-based power transfer systems,reduce the total energy consumption,which means that the solution has great application potential.