TY - GEN
T1 - Trajectory Optimization Method of Hypersonic Vehicle Based on PSO-GPM
AU - Jiao, Hui
AU - Zhang, Xiaofeng
AU - Xu, Tao
AU - Fu, Wenxing
N1 - Publisher Copyright:
© Beijing HIWING Scientific and Technological Information Institute 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Gaussian pseudo-spectrum method
KW - Hypersonic vehicle
KW - Particle swarm optimization algorithm
KW - Trajectory planning
UR - http://www.scopus.com/inward/record.url?scp=105003139285&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-3568-9_28
DO - 10.1007/978-981-96-3568-9_28
M3 - 会议稿件
AN - SCOPUS:105003139285
SN - 9789819635672
T3 - Lecture Notes in Electrical Engineering
SP - 295
EP - 305
BT - Proceedings of 4th 2024 International Conference on Autonomous Unmanned Systems, 4th ICAUS 2024
A2 - Liu, Lianqing
A2 - Niu, Yifeng
A2 - Fu, Wenxing
A2 - Qu, Yi
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th International Conference on Autonomous Unmanned Systems, ICAUS 2024
Y2 - 19 September 2024 through 21 September 2024
ER -