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
CN107544553AInactive Publication Date: 2018-01-05HUBEI UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUBEI UNIV OF TECH
Publication Date
2018-01-05
Estimated Expiration
Not applicable · inactive patent

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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.
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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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