Control Co-Design Optimization of Spacecraft Trajectory and System for Interplanetary Missions

Gage W. Harris, Ping He, O. Abdelkhalik
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Abstract

This paper develops a control co-design (CCD) framework to simultaneously optimize the spacecraft’s trajectory and onboard system (rocket engine) and quantify its benefit. An open-loop optimal control problem (two-finite burn Mars missions) is used as the benchmark, and the engine design considers the combustion equilibrium and nozzle geometry. The objective function is the fuel burn. The design variables are the trajectory control parameters (such as burn times, burn directions, and time of flight), initial fuel mass, and engine design parameters (such as throat area, mixture ratio, and chamber pressure). The constraints include the final velocities and positions of spacecraft. Single-point optimizations are conducted for three departure dates in May, July, and September 2020. A multipoint optimization is also performed to balance the engine performance for these dates with 49 design variables and 20 constraints. It is found that the CCD optimizations exhibit 22–28% more fuel burn reduction than the trajectory-only optimization with fixed engine parameters and 16–20% more fuel burn reduction than the decoupled trajectory-engine optimization. The proposed CCD optimization framework can be extended to more spacecraft trajectory control parameters and onboard systems and has the potential to design more efficient spacecraft missions.
星际飞行任务航天器轨迹和系统的控制协同设计优化
本文建立了一个控制协同设计(CCD)框架,以同时优化航天器的轨迹和机载系统(火箭发动机),并量化其效益。以一个开环优化控制问题(两次无限燃烧的火星任务)为基准,发动机设计考虑了燃烧平衡和喷嘴几何形状。目标函数是燃料燃烧。设计变量包括轨迹控制参数(如燃烧时间、燃烧方向和飞行时间)、初始燃料质量和发动机设计参数(如喉管面积、混合比和燃烧室压力)。约束条件包括航天器的最终速度和位置。对 2020 年 5 月、7 月和 9 月的三个出发日期进行了单点优化。同时还进行了多点优化,以平衡这些日期的发动机性能,其中包括 49 个设计变量和 20 个约束条件。结果发现,CCD 优化比固定发动机参数的纯轨迹优化减少燃料消耗 22-28%,比轨迹-发动机解耦优化减少燃料消耗 16-20%。提出的 CCD 优化框架可扩展到更多的航天器轨迹控制参数和机载系统,有望设计出更高效的航天器任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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