Waypoint path self-learning flight method and system for unmanned aerial vehicle

Abstract

The invention provides a waypoint path self-learning flight method and system for an unmanned aerial vehicle (UAV). The method comprises the following steps: acquiring each waypoint of a terrain to be flown over and constructing a waypoint database of the terrain to be flown over; reading waypoints between a predetermined starting point and a predetermined ending point of the UAV in the waypoint database of the terrain to be flown over, and acquiring a route path between the predetermined starting point and the predetermined ending point of the terrain to be flown over based on an ant state transition rule. According to the waypoint path self-learning flight method for the UAV, the waypoint database of the terrain to be flown over is constructed; when the predetermined starting point and the predetermined ending point are input, a path route can be fast obtained through an ant colony algorithm; therefore, after the UAV flies manually for the first time, the UAV in an automatic flight mode can automatically select a proper flight path according to real-time situations in a complex environment, quickly passes through a target area and reaches the predetermined ending point, and the UAV also can automatically select to land or return according to complex situations after a mission is completed.

Description

Technical field [0001] The present invention relates to the technical field of unmanned route planning, and more specifically, to an unmanned aerial vehicle self-learning waypoint trajectory flight method and system. Background technique [0002] Existing drone operations are generally managed by the ground station system. The ground station system is the manager. After the route planning is carried out, the planned route is sent to the flight control system on the drone through the radio. The flight control system is based on The planned route controls the UAV to perform the flight mission. During the execution, the track point information is sent to the ground station system in real time. The ground station system receives the track point information sent by the flight control system in real time, and generates the operation file after the flight mission ends. [0003] The existing management mode of drone operations has the following shortcomings: 1. When route planning is carri...

AI Technical Summary

Problems solved by technology

[0005] The invention provides a UAV self-learning waypoint trajectory flight method and its system to solve the technical problems of high cost and poor repeatability of the existing UAV route management

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