UAV Inspection Path Planning Based On Moth-Flame Optimization

Aiming at the optimization problem of UAV automatic control, an optimization method of UAV trajectory planning based on moth Fire Fighting algorithm (MOF) was proposed. The optimization objective function model including track length, terrain cost and flight altitude cost is designed, and the simulation test is carried out on MATLAB software. The simulation results show that compared with particle swarm optimization algorithm and genetic algorithm, the moth fire fighting algorithm can obtain an optimal path to avoid obstacles and threat areas, which proves that the method has stronger robustness and feasibility in UAV path planning.