Flight Parameter Model Based Route Planning Method of UAV Using Stepped-Adaptive Improved Particle Swarm Optimization
Chen Yang, Shuquan Wang · 2019
The objective of route planning is to find a path with minimum cost on the basis of satisfying the constraints of the aircraft and the planning constraints due to obstacles. Aiming at improving the accuracy of the environmental model of route planning, this paper introduces the concept of threat function to make every location in space have specific threat value. Multiple methods of path planning are used to compare the advantages and disadvantages of point representation method and flight parameter representation method. Based on the point representation method and the flight parameter representation method, this paper simulates and compares the path planning of particle swarm optimization (PSO) algorithm and improved PSO algorithm respectively.