Deep Space Formation Flying Spacecraft Path Planning

Author:

Sultan Cornel1,Seereram Sanjeev2,Mehra Raman K.2

Affiliation:

1. United Technologies Research Center, East Hartford, CT, 06108, USA

2. Scientific Systems Company Inc., Woburn, MA, 01801, USA and

Abstract

Efficient algorithms for collision-free energy sub-optimal path planning for formations of spacecraft flying in deep space are presented. The idea is to introduce a set of way-points through which the spacecraft are required to pass, combined with parameterizations of the trajectories which are energy-optimal for each spacecraft. The resulting constrained optimization problem is formulated as a quasi-quadratic parameter optimization problem in terms of the way-points parameters. The mathematical structure of the problem is further exploited to develop gradient-based algorithms in which the gradients are computed analytically. The collision avoidance constraints are approximated such that closed form solutions are generated. This combination results in fast and robust numerical algorithms which work very well for scenarios involving a large number of spacecraft (e.g. 20).

Publisher

SAGE Publications

Subject

Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modeling and Simulation,Software

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design and testing of a Mini-RF plasma thruster with permanent magnets;Journal of Electric Propulsion;2024-01-02

2. Design and testing of a Mini-RF plasma thruster with permanent magnets;2023-09-08

3. Coverage optimization of satellite formations using Instantaneous overlap area;2022 IEEE 9th International Workshop on Metrology for AeroSpace (MetroAeroSpace);2022-06-27

4. FEMTA micropropulsion system characterization by DSMC;31ST INTERNATIONAL SYMPOSIUM ON RAREFIED GAS DYNAMICS: RGD31;2019

5. Adaptive surrogate model-based fast path planning for spacecraft formation reconfiguration on libration point orbits;Aerospace Science and Technology;2016-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3