Optimization and Numerical Analysis of Precise Landing Path of UAV on an Island Based on MOPSO Algorithm
Xinyu Zhang, Weitao Ding, Haocai Huang · 2024
This study aimed to optimize the path planning of unmanned aerial vehicles (UAVs) during island-to-island transportation using the multi-objective particle swarm optimization (MOPSO) algorithm. We developed a UAV path optimization model based on MOPSO and tested it through simulations on the MATLAB platform. The results indicated that, after several iterations, the path evolved from a disordered state to a smooth and convergent curve. Furthermore, our analysis showed that the optimized UAV could hover at designated points and land precisely within 4.5 seconds. This optimization was achieved after 100 iterations. In conclusion, the MOPSO algorithm effectively optimizes UAV flight paths, facilitating future research on enhancing drone landing accuracy on islands.