Co‐ordination and control of distributed spacecraft systems using convex optimization techniques
Co‐ordination and control of distributed spacecraft systems using convex optimization techniques
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DOI：
10.1002/rnc.683
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发表时间：
2002-02
影响因子：
3.9
通讯作者：
Michael Tillerson;G. Inalhan;J. How
中科院分区：
文献类型：
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作者：
Michael Tillerson;G. Inalhan;J. How
多个航天器的编队飞行是许多未来空间科学任务的一项使能技术。然而，这些仪器的协调和控制带来了许多困难的设计挑战。本文提出了针对航天器编队设计的协调和控制架构的燃料/时间最优控制算法。该架构包括低级编队保持算法和高级舰队规划器，可创建轨迹以重新调整编队大小或重新定位编队目标。轨迹和编队保持优化算法基于线性和整数规划问题的解决方案。其结果是一个非常灵活的优化框架，可以离线使用来分析任务设计的各个方面，并作为机载自主编队飞行控制系统的一部分实时使用。使用非线性仿真环境演示总体控制方法，其中包括实际测量噪声、干扰和执行器非线性。版权所有 © 2002 约翰威利父子有限公司
Formation flying of multiple spacecraft is an enabling technology for many future space science missions. However, the co‐ordination and control of these instruments poses many difficult design challenges. This paper presents fuel/time‐optimal control algorithms for a co‐ordination and control architecture that was designed for a fleet of spacecraft. This architecture includes low‐level formation‐keeping algorithms and a high‐level fleet planner that creates trajectories to re‐size or re‐target the formation. The trajectory and formation‐keeping optimization algorithms are based on the solutions of linear and integer programming problems. The result is a very flexible optimization framework that can be used off‐line to analyse various aspects of the mission design and in real time as part of an onboard autonomous formation flying control system. The overall control approach is demonstrated using a nonlinear simulation environment that includes realistic measurement noises, disturbances, and actuator nonlinearities. Copyright © 2002 John Wiley & Sons, Ltd.