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首页> 外文期刊>Advances in space research >Approximately optimal manoeuvre strategy for aero-assisted space mission
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Approximately optimal manoeuvre strategy for aero-assisted space mission

机译:有关航空辅助空间任务的大约最佳的机动策略

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摘要

An innovative aerodynamically assisted spacecraft manoeuvre strategy is introduced in this study which benefits from the higher order powers of the state variables as the feedback signal for online calculation of trajectory correction commands. The proposed manoeuvre policy is exploited from nonlinear optimal control theory formulation by incorporating a novel form of High Order Expansions method which results in an approximately optimal manoeuvre commands in practice. To extract such a manoeuvre policy, a specific approach of dealing with High Order Expansions method, namely Vectorised High Order Expansions, is illustrated comprehensively. Then, the implementation of this method is described to extract the solution of general optimal control problems by use of sensitivity variables. By means of this novel approach, the higher order manoeuvre policy is designed for the aero-assisted mission up to and including the 8th order expansions to better reveal the quality of the proposed approach. The performance of the proposed method is investigated by the means of planar point mass simulations; the results are compared with a state dependent Riccati equation method and the numerical open loop solution of the problem, and the quality of the higher order terms is investigated. (C) 2019 COSPAR. Published by Elsevier Ltd. All rights reserved.
机译:本研究介绍了一种创新的空气动力学辅助航天器机动策略,从状态变量的较高阶权力作为用于在线计算轨迹校正命令的反馈信号的益处。通过结合一种新颖的高阶扩展方法,从非线性最佳控制理论制定中利用了所提出的机动策略,这在实践中导致了大致最佳的操纵命令。为了提取这种机动策略,可以全面地说明了处理高阶扩展方法的具体方法,即矢量化高阶扩展。然后,描述该方法的实现来通过使用灵敏度变量提取一般最佳控制问题的解决方案。通过这种新方法,更高阶的机动政策是为航空辅助任务的设计,包括第8顺序扩展,以更好地揭示所提出的方法的质量。通过平面点质量模拟来研究所提出的方法的性能;将结果与状态相关的Riccati等式方法和问题的数值开环解决方案进行比较,并且研究了高阶项的质量。 (c)2019 Cospar。 elsevier有限公司出版。保留所有权利。

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