In this paper, a hypersonic vehicle reentry trajectory optimization method based on particle swarm optimization is proposed. Firstly, the dynamics model is established, and then the flight constraints are transformed into the constraints of the fixed parameters of the reference profile by planning the angle of attack-velocity profile and the reentry corridor. Secondly, according to the relationship between the continuity of the reference profile and the equations, the optimization parameters of the reference profile are reduced, and the multi-objective function of the optimization parameters is designed. Finally, the reentry trajectory optimization method is designed by combining the particle swarm optimization algorithm. Through the simulation analysis of the Common Aero Vehicle (CAV-H), the feasibility of the optimization algorithm in this paper is verified.
Hypersonic Vehicle Reentry Trajectory Optimization Based on Particle Swarm Algorithm
Lect. Notes Electrical Eng.
International Conference on Autonomous Unmanned Systems ; 2024 ; Shenyang, China September 19, 2024 - September 21, 2024
Proceedings of 4th 2024 International Conference on Autonomous Unmanned Systems (4th ICAUS 2024) ; Chapter : 25 ; 242-251
2025-03-31
10 pages
Article/Chapter (Book)
Electronic Resource
English
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