深空探测学报（中英文）2026，Vol.13Issue(1)：18-26,9.DOI:10.3724/j.issn.2096-9287.2025.20250091
基于序列凸优化的火星上升器机会约束轨迹优化
Chance-Constrained Trajectory Optimization for Mars Ascent Vehicle Based on Sequential Convex Optimization
摘要
Abstract
The Mars ascent vehicle is tasked with sending Martian samples into space orbit,and its trajectory optimization is a crucial part of the Mars sample return mission.The scenario of the Mars ascent mission is complex and subject to various uncertainties.However,traditional trajectory optimizations are mostly based on nominal models,with limited ability to address uncertainties.In this thesis,the uncertainties in the initial position and thrust amplitude were described as chance constraints,so a chance-constrained trajectory optimization problem was established.Then the optimal trajectory was iteratively solved using sequential convex optimization method.Numerical simulation results verified the effectiveness of the proposed method.Comparisons also demonstrated that this method achieved better performance indicators and exhibited less conservatism than traditional robust optimization.In addition,a comparative analysis of the risk management effect of chance constraints and the conservatism of probability approximation functions was conducted.关键词
火星上升器/轨迹优化/机会约束/序列凸优化Key words
Mars ascent vehicle/trajectory optimization/chance constraint/sequential convex optimization分类
航空航天引用本文复制引用
郭春正,王鹏宇,郭敏文,黄翔宇,郭延宁..基于序列凸优化的火星上升器机会约束轨迹优化[J].深空探测学报（中英文）,2026,13(1):18-26,9.基金项目
科工局稳定支持项目(HTKJ2025KL502014) （HTKJ2025KL502014）
