UAV path planning based on GA search

In order to ensure that the UAV cluster in the attempted formation flight, as far as possible to maintain electromagnetic silence to reduce the emission of electromagnetic wave signals, the positioning of the UAV is particularly important, and the existence of factors affecting the flight cost and flyable time of the UAV makes the UAV path optimization has some significance. The UAV position is scattered in a three-dimensional right-angle coordinate system, this paper assumes that there are three UAVs with known position and number as the signal source to transmit signals, and these three UAVs are used as mass points to determine a plane, and the direction of flight of the UAV that needs to be displaced to the plane is calculated according to the angle. The remaining UAVs are oriented and displaced to the previously determined plane in the same way. In this paper, a genetic algorithm is used to minimize the path of the UAV flying to a fixed point in the same plane, to optimize the solution of the UAV path, and to simulate the optimal path of the UAV flight.