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Single-step optimization method for UAV area coverage based on particle swarm optimization

A particle swarm algorithm and area coverage technology, applied in the field of airborne radar, can solve the problem of maximizing real-time coverage of areas that are not applicable to unmanned early warning fleets

Active Publication Date: 2020-02-14
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

However, since the task is completed when the target is searched, this problem is not applicable to the demand of using the unmanned early warning fleet to maximize the coverage of the area in real time and then using the distributed airborne radar system for multi-base processing

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  • Single-step optimization method for UAV area coverage based on particle swarm optimization
  • Single-step optimization method for UAV area coverage based on particle swarm optimization
  • Single-step optimization method for UAV area coverage based on particle swarm optimization

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Embodiment Construction

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0052] refer to figure 1 , is a single-step optimization method for the area coverage of a particle swarm algorithm based on the unmanned aerial vehicle of the present invention, comprising the following specific steps:

[0053] Step 1, set up the system simulation environment. First, set the monitoring area S and the feasible flight area A of the UAV swarm. The UAV swarm needs to maximize the real-time coverage of the monitoring area, and at the same time, i...

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Abstract

The invention belongs to the airborne radar field and discloses an unmanned plane area coverage single step searching optimization method based on a particle swarm algorithm. The method comprises steps that a monitored area and a feasible flight area of an unmanned plane early warning plane group are set, the unmanned plane early warning plane group comprises M unmanned planes, each unmanned plane is provided with an airborne radar, and each unmanned plane flies in a uniform speed; parameters of the particle swarm algorithm are set; modeling of a flight path of the unmanned plane early warning plane group is carried out; single step searching optimization path planning of the M unmanned planes is carried out based on the particle swarm algorithm to acquire a particle having an optimal fitness function value after K times of iteration, a flight scheme corresponding to the particle is a next-step flight scheme of the M unmanned planes; the monitored area can be effectively covered in real time, and a base is provided for early warning of an unmanned plane group.

Description

technical field [0001] The invention belongs to the field of airborne radar technology, and in particular relates to a single-step optimization method for unmanned aerial vehicle area coverage based on a particle swarm algorithm, which is applicable to the track planning problem of the real-time optimal coverage monitoring area of ​​an unmanned early warning aircraft group. Background technique [0002] Unmanned Aerial Vehicle (Unmanned Aerial Vehicle), referred to as UAV, was successfully developed by the British military during World War I. At first, it was only used as a target drone for training. After World War II, there were many unmanned drones used for wartime training. Scientific researchers conducted special research on these target drones, which pioneered the trend of using drones. . With the rapid development of electronic technology, the role of drones is no longer satisfied with being used as a target drone. Researchers have begun to shift their attention to t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05D1/12G06N3/00
CPCG05D1/12G06N3/006
Inventor 王彤陈金铭张曙光
Owner XIDIAN UNIV
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