Laser-powered UAV cluster charging scheduling method

A scheduling method and laser energy supply technology, applied in current collectors, charging stations for mobile device charging, electric vehicles, etc., can solve problems such as relatively few researches on wireless laser charging for drones, reduce charging delay time, guarantee Survival rate, effect of increasing time

Active Publication Date: 2019-10-01
CHINA THREE GORGES UNIV
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Problems solved by technology

[0004] At present, most of the research on UAV laser energy supply and charging technology is based on the research on the laser wireless

Method used

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  • Laser-powered UAV cluster charging scheduling method
  • Laser-powered UAV cluster charging scheduling method
  • Laser-powered UAV cluster charging scheduling method

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[0031] A clustered charging scheduling method for laser-powered drones, the specific steps include:

[0032] 1. Establish a laser wireless charging network model for drones:

[0033] Such as image 3 As shown, a laser wireless charging network model includes a set of randomly deployed rechargeable UAVs, and a laser charging station LC that can supplement the energy of UAVs in the charging network area. UAVs in the charging network have the same initial energy, and their energy consumption rate is fixed. However, in a certain period of time, because their states are different, their energy consumption is different from each other. LC can only charge one UAV at a time, and it has enough energy to charge all UAVs in the network. The received power of each UAV is obtained by formula (1).

[0034] 2. Charging scheduling algorithm based on gravity search algorithm:

[0035] (1) Fitness function:

[0036] In the charging schedule, the charging request queue is expressed as follows:

[0037]...

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Abstract

The invention provides a laser-powered UAV (unmanned aerial vehicle) cluster charging scheduling method. The method comprises a step of acquiring data information of a laser wireless charging networkand establishing a charging charging mathematical model, a step of obtaining initialization data by using a gravity search algorithm according to the charging charging mathematical model and calculating and obtaining a corresponding charging plan fitness function value, a fitness function is a UAV charging delay time C1 which represents an average time taken by a laser charging station to providecharging service for each UAV, and a step of calculating a fitness function value of each charging request queue by the gravity search algorithm to obtain the fitness function value fit(t) of each charging request, finding a best fitness function value b(t) and a worst fitness function value w(t) through comparison, comparing a fitness function value obtained in each round with the best fitness function value b(t) and outputting a charging time sequence table. According to the method of the invention, the time of the tasks of the UAVs can be effectively increased, and at the same time, the survival rate of each UAV in the system can be ensured to the utmost extent.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicle charging, in particular to a clustered charging scheduling method for laser-powered unmanned aerial vehicles. Background technique [0002] Unmanned Aerial Vehicle (UAV for short) has played a very important role in military and civilian applications. It has the characteristics of light weight, small size, high flexibility, high load ratio, good concealment, and low cost. From the perspective of the development status and application requirements of UAVs, UAVs will mainly develop towards high survival rate, low cost, high recovery rate, miniaturization, long endurance and multi-purpose in the future. It is an important development direction, but it also puts forward higher requirements for the energy supply of UAVs. [0003] Due to the limited energy carried by the electric UAV itself, it is difficult to guarantee its long-term mission flight, which seriously affects the performan...

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Application Information

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IPC IPC(8): H02J50/30H02J7/00
CPCH02J7/0027H02J50/30Y02T10/70Y02T10/7072
Inventor 袁建华黄开洪沪生陈庆李尚
Owner CHINA THREE GORGES UNIV
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