Research on Multi-task Cruise Path Planning of UAV Based on COA Optimization Algorithm

Aiming at the multi-task cruising problem of UAV in three-dimensional uncertain weather environment, a path planning method based on coyote optimization algorithm is proposed in this paper. First of all, through the analysis of the dynamic changes of clouds, the destination risk assessment model is constructed as the safety constraint for UAV to fly in uncertain weather environment, and then the problem of UAV multi-task cruise is analyzed. a method of UAV multi-task cruise path planning is proposed to maximize the benefits of UAV cruise decision-making. Finally, the coyote optimization algorithm is used to make the optimal decision in line with the flight constraints, and the corresponding path coordinate sequence is obtained by decoding. The simulation results show that this method can find the path that satisfies the constraints and minimizes the penalty cost, so that the UAV can ensure the flight safety at the same time.