Unmanned Aerial Vehicle Three-dimensional Trajectory Planning Based on Ant Colony Algorithm

Aiming at the task of reconnaissance, patrol or attack of UAV in designated place, the track cost model of UAV is transformed into mathematical model, and the ant colony algorithm is used to realize the UAV route planning. First of all, the flight path planning of UAV is introduced in this paper, then the ant colony optimization algorithm is adopted, and the digital signal map is drawn combined with the ant colony optimization algorithm. By analyzing the moving state of the UAV in horizontal and vertical directions, a mathematical model of UAV flight trajectory is established, and a flight area digital map is drawn to simulate the flight path of the UAV. From the flight trajectory of unmanned aerial vehicle and the changing trend of individual fitness with the number of iterations, the effectiveness and optimality of the flight trajectory calculated by the optimization algorithm are illustrated.