Trajectory Optimization Method of Hypersonic Vehicle Based on PSO-GPM

In this paper, a hybrid trajectory optimization method combining particle swarm optimization (PSO) and Gaussian pseudo-spectrum method is proposed for trajectory planning of the reentry phase of hypersonic vehicle. Firstly, this paper designs an angle-velocity profile suitable for the reentry section, and combines the flight reentry corridor to design the bank angle-velocity profile to meet the constraints of the reentry process and avoid the no-fly zone. Then, the particle swarm optimization algorithm is used to optimize the key node values in the control quantity profile, and the sub-optimal trajectory of the reentry section is quickly obtained. In order to further improve the trajectory accuracy, Gaussian pseudo-spectrum method is adopted, and the sub-optimal trajectory obtained by particle swarm optimization algorithm is used as the initial guess solution of Gaussian pseudo-spectrum method. The simulation results show that the algorithm can avoid obstacles in no-fly zone and reach the final target point accurately, which has high precision and timeliness.