Unmanned aerial vehicle airway planning method based on hybrid ant colony algorithm

A technology of route planning and ant colony algorithm, applied in the direction of finding the target control, etc., can solve the problems of different threat levels, complex battlefield environment, uncertainty, etc., and achieve the effect of improving combat efficiency and survival probability

Inactive Publication Date: 2018-01-05
HUBEI UNIV OF TECH
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AI Technical Summary

Problems solved by technology

In the actual battlefield environment, there are not only fixed threat sources with different threat levels, but also sudden threat sources. Many factors make the battlefield environment more complex and uncertain. In order to improve the efficiency and survival rate of UAVs in completing tasks , local route re-planning must be carried out

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  • Unmanned aerial vehicle airway planning method based on hybrid ant colony algorithm
  • Unmanned aerial vehicle airway planning method based on hybrid ant colony algorithm
  • Unmanned aerial vehicle airway planning method based on hybrid ant colony algorithm

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Embodiment Construction

[0013] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only for illustration and explanation of the present invention, and are not intended to limit this invention.

[0014] The present invention provides a UAV route planning method based on the mixed ant colony algorithm, which uses the ant colony algorithm to plan the global route, and uses the artificial potential field method to deal with sudden threats to carry out local route re-planning;

[0015] The basic idea of ​​Ant Colony Algorithm (Ant Colony Algorithm) was first proposed by Dorigo et al. in Italy in 1991. It uses bioinformatics hormone (Pheromone / Stigmergy) as the basis for ants to choose follow-up behavior, and completes the optimization process through ...

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Abstract

The invention discloses a UAV route planning method based on a mixed ant colony algorithm. On the basis of the existing UAV route planning research, the present invention adopts the method of combining the ant colony algorithm and the artificial potential field method to carry out the route planning respectively. Global route planning and local route re-planning. Using the mixed ant colony algorithm, the drone first performs global route planning, and needs to make local path re-planning for some corners that cannot fly, so that the drone can successfully bypass obstacles while avoiding its own constraints, improving the efficiency of unmanned aerial vehicles. The operational efficiency and survival probability of the aircraft.

Description

technical field [0001] The invention belongs to the technical field of intelligent control, and relates to a route planning method for an unmanned aerial vehicle, in particular to a global path planning and local path re-planning method for an unmanned aerial vehicle based on the combination of ant colony algorithm and artificial potential field method. Background technique [0002] Unmanned Aerial Vehicle (UAV) has the characteristics of low detectability, low cost, no fear of casualties, simple take-off and landing, flexible operation, diversified system configuration, and intelligent automatic control, so it will play an increasingly important role in future integrated joint operations. important role. The hotspot and difficulty of unmanned aerial vehicle (UAV) route planning is how to meet the safety and real-time requirements while taking into account the global path planning and local path re-planning, so as to improve the combat efficiency and survival probability of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/12
Inventor 王粟邱春辉朱飞江鑫李庚
Owner HUBEI UNIV OF TECH
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