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Robustness analysis of attitude and orbit control systems for flexible satellites

机译:柔性卫星姿态和轨道控制系统的鲁棒性分析

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In this study, an optimisation-based approach is proposed for the robustness analysis of an attitude and orbit control system (AOCS) for flexible satellites. Several optimisation methods, including local gradient-based algorithms, global evolutionary algorithms and hybrid local/global algorithms are applied to the problem of analysing the robustness of a full-authority multivariable controller with respect to several frequency and time domain performance criteria, for a 6 degree of freedom simulation model of a satellite with large sun shields. The results of our study reveal the advantages of optimisation-based worst-case analysis over traditional Monte Carlo simulations for systems with flexible dynamics. In particular, it is shown that frequency domain analysis can provide useful guidance for the formulation of subsequent time domain tests, and that hybrid local/global optimisation algorithms can produce more reliable estimates of worst-case performance, while also reducing the associated computational overheads. The proposed approach appears to have significant potential for improving the industrial flight clearance process for next-generation high-performance satellite control systems.
机译:在这项研究中,提出了一种基于优化的方法,用于对柔性卫星的姿态和轨道控制系统(AOCS)进行鲁棒性分析。对于基于6的频域和时域性能标准,针对基于权威的多变量控制器的鲁棒性分析问题,应用了几种优化方法,包括基于局部梯度的算法,全局进化算法和混合局部/全局算法。大型遮阳罩的卫星自由度仿真模型。我们的研究结果表明,对于具有灵活动态特性的系统,基于优化的最坏情况分析优于传统的蒙特卡洛模拟。特别是,它表明频域分析可以为后续时域测试的制定提供有用的指导,混合本地/全局优化算法可以提供最可靠的最坏情况性能估计,同时还可以减少相关的计算开销。所提议的方法对于改进下一代高性能卫星控制系统的工业飞行许可过程似乎具有巨大的潜力。

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