The trajectory replanning problem of rocket launchers is one of the crucial issues in aer-ospace engineering.Currently,the existing trajectory replanning methods have not deeply explored the special structure of specific multi-stage trajectory optimization models,and the com-putational efficiency can be further improved.This paper establishes a multi-stage trajectory re-planning problem model,analyzes the structural characteristics of the model,and finally develops an effective customized interior point algorithm by using successive convex approximation technol-ogy to achieve a high-precision and high-robustness online solution for trajectory replanning prob-lems.The numerical simulation results show that,for typical SSO and GTO rocket orbits,the running time of the customized interior point algorithm is reduced by 37.41％and 47.86％respec-tively compared to traditional algorithms.The superior performance of the customized algorithm implies that it can meet the practical engineering demand of online trajectory replanning.
关键词
弹道重规划/连续凸近似/定制化内点算法
Key words
Rajectory replanning/Successive convex approximation/Customized interior point method
维普
万方数据