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Three-Dimensional Path Planning of UAV Based on Improved Particle Swarm Optimization
Ist Teil von
Mathematics (Basel), 2023-04, Vol.11 (9), p.1987
Ort / Verlag
Basel: MDPI AG
Erscheinungsjahr
2023
Quelle
Free E-Journal (出版社公開部分のみ)
Beschreibungen/Notizen
The traditional particle swarm optimization algorithm is fast and efficient, but it is easy to fall into a local optimum. An improved PSO algorithm is proposed and applied in 3D path planning of UAV to solve the problem. Improvement methods are described as follows: combining PSO algorithm with genetic algorithm (GA), setting dynamic inertia weight, adding sigmoid function to improve the crossover and mutation probability of genetic algorithm, and changing the selection method. The simulation results show that the improved PSO algorithm solves better route results and is faster and more stable.