An Improved PSO Algorithm for Hypersonic Vehicle Cruise Trajectory Planning

To solve the problem of hypersonic vehicle trajectory planning in cruise stage, this paper proposes a trajectory planning algorithm based on a hybrid PSO algorithm. Based on PSO algorithm, a crossover operator from the genetic algorithm is introduced to further improve the searching ability of PSO algorithm in complex solution space. To solve the problem of swarm intelligence optimal algorithms being trapped into local optimization, the clustering behavior of the artificial fish swarm algorithm is used to prevent the PSO algorithm from falling into local optima. Moreover, to address sudden threats during cruise stage, an online trajectory planning algorithm is designed to solve the online trajectory planning problem when sudden threats occur. Simulation results demonstrate that the hybrid PSO algorithm is better than traditional PSO algorithm, and the planned route is the most smoothly compared with other algorithms. Besides the online trajectory planning algorithm is proved validity dealing with sudden threats.