A PSO Method for Trajectory Design of Boost Phase

• Published in: Chinese Control Conference pp. 3924 - 3928
• Main Authors: Zhangl, Mingang, Yang, Ding, Yang, Ming, Ge, Yajie, Cao, Yi, Wang, Lin
• Format: Conference Proceeding
• Language: English
• Published: Technical Committee on Control Theory, Chinese Association of Automation 24.07.2023
• Subjects: Boost phase; Particle swarm optimization; Rockets; Search problems; Simulation; Solid modeling; Solids; Stability analysis; Trajectory design
• ISSN: 1934-1768
• DOI: 10.23919/CCC58697.2023.10240677

This paper studies a trajectory design optimization method based on PSO (Particle Swarm Optimization) algorithm for rocket boost phase trajectory. The trajectory program of the active stage of the rocket was designed, and the PSO algorithm for the optimal design of the trajectory track was constructed. By designing the control parameter improvement strategy, the particle swarm iteration algorithm was improved. The analysis and simulation results show that the PSO algorithm can effectively solve the problem of solid rocket trajectory optimization design, optimize the trajectory path scheme in the boost phase to meet the separation point height, trajectory inclination and other constraints. The algorithm increases the convergent speed and stability. It is easy to engineering implementation and it can provide a theoretical reference for boost phase trajectory optimization design.