首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Optimal reconfigurations of two-craft Coulomb formations along manifolds
Institution:1. Aerospace Engineering and Engineering Mechanics Department, WRW Laboratories, The University of Texas at Austin, 210 E 24th Street, Austin, TX 78712, United States;2. Aerospace Engineering Sciences Department, Colorado Center for Astrodynamics Research, The University of Colorado at Boulder, Boulder, CO 80309, United States;1. School of Information and Communication Technology, Griffith University, Nathan, Brisbane, QLD, 4111 Australia;2. BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824, USA;1. DIAEE Dipartimento di Ingegneria Astronautica Elettrica ed Energetica, Università di Roma “La Sapienza”, via Salaria 851, 00138 Roma, Italy;2. Scuola di Ingegneria Aerospaziale, Università di Roma “La Sapienza”, via Salaria 851, 00138 Roma, Italy
Abstract:Coulomb formations refer to swarms of closely flying spacecraft, in which the net electric charge of each vehicle is controlled. Active charge control is central to this concept and enables a propulsion system with highly desirable characteristics, albeit with limited controllability. Numerous Coulomb formation equilibria have been derived, but to maintain and maneuver these configurations, some inertial thrust is required to supplement the nearly propellant-less charge control. In this work, invariant manifold theory is applied to two-craft Coulomb equilibria, which are admitted in a linearized two-body gravity model. The manifolds associated with these systems are analyzed for the first time, and are then utilized as part of a general procedure for formulating optimal reconfigurations. Specifically, uncontrolled flows along the manifolds are sought which provide near continuous transfers from one equilibrium to another. Control is then introduced to match continuity, while minimizing inertial thrusting. This methodology aims to exploit uncontrolled motions and charge control to realize the shape-changing ability of these formations, without large inertial control efforts. Some variations in formulating and parameterizing the optimal transfers are discussed, and analytical expressions are derived to aid in establishing control parameter limits, under certain assumptions. Numerical results are provided, as demonstrative examples of the optimization procedure, using relatively simple control approximations. Finally, Particle Swarm Optimization, a novel stochastic method, is used with considerable success to solve the numerically difficult parameter optimization problems.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号