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Multi-objective Optimization of Zero Propellant Spacecraft Attitude Maneuvers

机译:零推进剂航天器姿态机动的多目标优化

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摘要

The zero propellant maneuver (ZPM) is an advanced space station, large angle attitude maneuver technique, using only control momentum gyroscopes (CMGs). Path planning is the key to success, and this paper studies the associated multi-objective optimization problem. Three types of maneuver optimal control problem are formulated: (i) momentum-optimal, (ii) time-optimal, and (iii) energy-optimal. A sensitivity analysis approach is used to study the Pareto optimal front and allows the tradeoffs between the performance indices to be investigated. For example, it is proved that the minimum peak momentum decreases as the maneuver time increases, and the minimum maneuver energy decreases if a larger momentum is available from the CMGs. The analysis is verified and complemented by the numerical computations. Among the three types of ZPM paths, the momentum-optimal solution and the time-optimal solution generally possess the same structure, and they are singular. The energy-optimal solution saves significant energy, while generally maintaining a smooth control profile. © 2014 Springer Science+Business Media New York.
机译:零推进剂机动(ZPM)是一种先进的空间站大角度姿态机动技术,仅使用控制动量陀螺仪(CMG)。路径规划是成功的关键,本文研究了相关的多目标优化问题。提出了三种类型的机动最优控制问题:(i)动量最优,(ii)时间最优和(iii)能量最优。灵敏度分析方法用于研究帕累托最优前沿,并允许在性能指标之间进行权衡。例如,事实证明,最小峰值动量随操纵时间的增加而减小,而最小动能则在CMG可获得更大动量的情况下减小。通过数值计算对分析进行了验证和补充。在三种ZPM路径中,动量最优解和时间最优解通常具有相同的结构,并且它们是奇异的。能源优化解决方案可节省大量能源,同时通常保持平稳的控制曲线。 ©2014年Springer Science + Business Media纽约。

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