An On-board Rapid Planning Method for Booster Trajectory of Multistage Rocket

Abstract

This paper proposes an on-board rapid planning guidance for the boost phase of multistage rockets, based on the Sequential Quadratic Programming (SQP). Firstly, based on the multistage rocket model, Particle Swarm Optimization (PSO) algorithm is used for achieving an initial trajectory by flight trajectory optimization. Secondly, considering the varieties of constrain limits and aerodynamics deviation, an improved SQP algorithm is used for on-board trajectory planning. Finally, numerical simulation results show that on-board trajectory planning problems with multiple constrain limits and uncertain aerodynamic coefficient can be solved by SQP effectively.