Three-dimensional path planning of UAV based on SSA and SSO
Shuyi Du, Chenxuan Gao · 2023
This paper presents a new algorithm SSA-SO is proposed to solve the path planning problem of UAV when it faces many threats in the mountain environment. Using the parameter setting of the snake swarm algorithm, a fitness function is constructed to compare the accuracy of SO and SSA-SO, simulate the actual scene, set the dangerous area, and obtain the interpolation path according to the optimized nodes. The sparrow search algorithm is divided into early warning and danger awareness, with a ratio of 1:1. Combine these two parts with the snake swarm to update to the new location, and then draw the path obtained by the new algorithm. To evaluate the performance of SSA-SO, MATLAB is used to generate benchmark conditions from a digital model map. The results indicate that in most cases, the proposed SSA-SO is not only superior to the snake optimization algorithm (SO), but also has been tested to prove the effectiveness of the generated path for the real UAV operation.