Study on uninhabited combat arial vehicle path planning method based on particle swarm optimization algorithm
Haibin Duan · Systems engineering and electronics · 2008
Based on the difference of the path planned for robots and unmanned arial vehicles(UAV),a uninhabited combat arial vehicle(UCAV) path planning algorithm based on the high-order B-spline curve fitting is presented,which the finite sample UCAV flight points are optimized by particle swarm optimization(PSO) algorithm.The UCAV path planning constraints model and the structures of the particles and the fitness value equations of particles are studied.The two curve fitting methods,the polynomial curve fitting method and the proposed s B-spline curve fitting method,are compared.Simulation shows that the B-spline curve fitting method is a more reasonable and effective path planning method.