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A design method of 3D trajectory of UAV based on wireless energy transmission network

A wireless energy transmission and design method technology, applied in the field of wireless communication, can solve the problems of short sailing time, inability to hover, and long sailing time, and achieve the effect of high energy collection efficiency and improved battery life

Active Publication Date: 2021-10-26
SOUTH CHINA UNIV OF TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In particular, fixed-wing UAVs can fly at high speeds and for long periods of time, but cannot hover
Quadrotor drones can circle and fly, but the flight speed is low and the flight time is short
However, limited by the capacity of the battery on the board, the flight time of the UAV is limited. Therefore, existing scholars study how to reduce the aerodynamic consumption and maximize the energy efficiency of the UAV to prolong the flight time of the UAV.

Method used

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  • A design method of 3D trajectory of UAV based on wireless energy transmission network
  • A design method of 3D trajectory of UAV based on wireless energy transmission network
  • A design method of 3D trajectory of UAV based on wireless energy transmission network

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Embodiment

[0127] Such as figure 1 As shown, a method for designing a three-dimensional trajectory of a UAV based on a wireless energy transmission network includes the following steps:

[0128] Step 1: Establish the downlink channel model of the wireless energy transfer network: such as figure 2 , image 3 As shown, the channel model between the UAV and the user is formed by combining the 3D dynamic energy beamforming with the direct path.

[0129] The wireless energy transfer network includes a quadrotor drone, K users randomly distributed on land, the drone is configured with a linear array of M antenna units, and the land users are configured with a single antenna; the land geometric area is divided into Γ service areas; The location coordinate of user k is z k =(x k ,y k , 0) and k∈{1,…,K} is the index of the user set; the three-dimensional position of the drone is z u =(x u ,y u , h), h represents the altitude of the UAV; the wireless channel between the UAV and user k is ...

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Abstract

The invention discloses a method for designing a three-dimensional trajectory of an unmanned aerial vehicle based on a wireless energy transmission network. The method includes: establishment of a downlink channel model of a wireless energy transmission network; establishment of a mathematical model based on user energy collection maximization, including three-dimensional position deployment of the drone, charging time allocation, and energy beam pattern generation; joint optimization of the drone Design and analysis of low-complexity iterative algorithms for 3D position deployment, charging time, and energy beams; use branch and bound method to design 3D flight trajectory of UAV. The present invention proposes to apply the three-dimensional energy beamforming technology to the wireless energy transmission network, and establishes the network model based on the mathematical optimization problem of maximizing the energy collected by the user, and uses a low-complexity iterative algorithm to jointly optimize the three-dimensional position deployment of the UAV, Charging time and energy beam pattern to maximize the energy collected by users in the coverage area while meeting the altitude and coverage area restrictions of the drone.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a method for designing a three-dimensional trajectory of an unmanned aerial vehicle based on a wireless energy transmission network. Background technique [0002] The Internet of Things (IoT) can enable heterogeneous smart devices to participate in the connection, and enable devices to collect and exchange information for use in smart homes, smart transmission systems and smart cities. According to Gartner, up to 840 million IoT devices were used worldwide in 2017, and the number is expected to reach 2.04 billion by 2020. Therefore, the next-generation communication network needs to support large-scale device communication services, while the traditional communication network cannot support such high data requirements. The fifth generation communication network (The fifth generation network, 5G) can make up for the shortcomings of the current communication network...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05D1/10
CPCG05D1/101G05D1/102B64C39/024B64U50/34B64U10/13B64U30/20B64U50/19H02J50/12H02J50/20H02J50/402H02J50/001G05B13/041G08G5/0034
Inventor 冯婉媚唐杰傅予力章秀银敖少鹏区俊辉
Owner SOUTH CHINA UNIV OF TECH
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