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Scheduling method for aerial charging of task unmanned aerial vehicle by charging unmanned aerial vehicle

A scheduling method and technology for drones, applied in the field of flight scheduling, can solve problems such as insufficient power in the application scenario of drones, and achieve the effects of saving charging time, minimizing energy consumption, and flexibly deploying

Pending Publication Date: 2022-05-27
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0004] Purpose of the invention: In order to solve the problem of insufficient power in the application scene of UAVs and consider the rationality of wireless charging applications, the present invention provides a scheduling method for charging UAVs to charge UAVs in the air

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  • Scheduling method for aerial charging of task unmanned aerial vehicle by charging unmanned aerial vehicle
  • Scheduling method for aerial charging of task unmanned aerial vehicle by charging unmanned aerial vehicle
  • Scheduling method for aerial charging of task unmanned aerial vehicle by charging unmanned aerial vehicle

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Embodiment Construction

[0064] In order to describe the technical solutions disclosed in the present invention in detail, further descriptions are made below with reference to the accompanying drawings.

[0065] The invention provides a scheduling method for charging drones to charge task drones in the air, aiming at charging the drones without interrupting the mission. In the present invention, a drone with a mission is referred to as a mission drone, where the mission typically involves data communication and computing (eg, drone edge computing). A mission drone can be wirelessly charged by another drone, a charging drone. The latest developments in wireless charging technology make our designs possible. For example, existing magnetic resonance coupling-based charging platforms provide charging for portable devices, RF antenna array patches, and distributed laser charging (DLC) systems. There are several benefits that can be achieved by aerial charging of drones. First, replacing (or supplementi...

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Abstract

The invention discloses a scheduling method for charging a task unmanned aerial vehicle in the air by a charging unmanned aerial vehicle. The scheduling method is used for scheduling the charging unmanned aerial vehicle to charge the task unmanned aerial vehicle executing a task in the air. According to the method, a remote charging or near-field charging mode is determined according to the charging demand of a task unmanned aerial vehicle, then classification modeling calculation is performed according to the participation number of the charging unmanned aerial vehicles, and the method comprises the steps of establishing a model of a charging scheduling problem of a single charging unmanned aerial vehicle and establishing a model of a charging scheduling problem of a plurality of charging unmanned aerial vehicles for solving; and finally, a charging scheduling strategy of the charging unmanned aerial vehicle is optimized based on a deep reinforcement learning or multi-agent reinforcement learning algorithm, the charging unmanned aerial vehicle makes a decision according to the optimized strategy and the state of the current environment, and charging of the task unmanned aerial vehicle is completed according to a charging scheduling instruction. According to the method, the task completion time of the task unmanned aerial vehicle is shortest, the task unmanned aerial vehicle is fairly charged, and the charging scheduling strategy of the charging unmanned aerial vehicle is optimized.

Description

technical field [0001] The invention belongs to flight scheduling technology, and particularly relates to a scheduling method for charging drones in the air for task drones. Background technique [0002] In recent years, unmanned aerial vehicles (UAVs) have been widely used in many fields due to their low cost, convenient remote control, flexible deployment, and strong maneuverability. UAVs can carry various equipment and complete various tasks for many civilian applications, such as data collection, environmental monitoring, area detection, communication, logistics, etc. Most small drones are powered by electricity equipped with batteries. However, such drones have limited battery capacity and can only support short work and flight times. Most battery-powered drones have runtimes ranging from tens of minutes to an hour. The range of drone activity is therefore limited. If the mission time exceeds the drone's endurance or the drone needs to perform the mission in a large...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06312G06Q50/06Y02T90/16
Inventor 朱琨杨佳
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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