Four-stage solid carrier rocket trajectory optimization method based on particle swarm optimization

Abstract

The invention discloses a four-stage solid carrier rocket trajectory optimization method based on a particle swarm algorithm, and relates to a trajectory optimization control method of a four-stage solid commercial carrier rocket platform. The method aims at a four-stage solid rocket trajectory flight section. The maximum flight attack angle of the first-stage power flight section, the pitching program angular rate of the second-stage power flight section, the gliding flight time of the rocket after second-stage depletion, the pitching program angular rate of the third-stage power flight section, the pitching program angular rate of the fourth-stage gliding flight section, the pitching program angular rate of the fourth-stage power flight section and the pitching program angular rate of the fourth-stage power flight section are changed into the maximum flight attack angle; the flight time of the four-stage sliding section serves as a trajectory design variable needing to be optimized, global optimization is conducted on the seven variables according to a particle swarm optimization algorithm, and global optimal parameters which can meet the injection conditions of the four-stage solid rocket and have the minimum performance index are sought. After initial values and variation ranges of the seven variables are selected, global optimization is carried out on the seven variables by applying a particle swarm optimization algorithm, and global optimal parameters which can meet four-stage solid rocket orbit injection conditions and have minimum performance indexes are sought.

Description

technical field [0001] The invention is a ballistic optimization method of a four-stage solid carrier rocket based on a particle swarm algorithm, which is used for the ballistic optimization design of a four-stage solid rocket or a four-stage rocket with a three-stage solid + upper stage, and belongs to the field of aircraft ballistic guidance and control. Background technique [0002] The solid launch vehicle has the characteristics of fast response, strong maneuverability, low cost and high reliability, and is a hot spot developed by various countries. The carrying capacity of solid rockets is relatively small, and its carrying capacity is greatly affected by the flight trajectory. It is of great significance to conduct research on ballistic optimization design to improve its carrying capacity and reduce launch costs. Ballistic optimization is an important part of the overall optimal design of solid launch vehicles, and plays an extremely important role in the entire life ...

AI Technical Summary

Problems solved by technology

The present invention proposes the application of particle swarm calculations to solve the ballistic optimization design problem of four-stage solid launch vehicle

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