Optimal design of hybrid rocket motor for sub-orbital vehicle based on improved particle swarm optimization

An improved particle swarm optimization (PSO), called as dynamic target particle swarm optimization (DTPSO), was proposed to use dynamic target strategy for solving complex multi-dimensional optimization problems by analyzing the position between individual particles, personal best and global best. As a specific example, the DTPSO was applied to the optimal design for hybrid rocket for a certain hybrid rocket motor of sub-orbital vehicle. The optimization results show that algorithm has strong search capability, and can also reach convergence rapidly and solve such problem effectively. All those can provide a theoretical reference for the research of sub-orbital vehicle engine's optimal design.