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Zonal-based high-performance control in adaptive optics systems with application to astronomy and satellite tracking

机译:适用于天文学和卫星跟踪的自适应光学系统中的基于分区的高性能控制

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This paper presents a model-based approach to adaptive optics (AO) control based on a zonal (i.e., pixelized) representation of the incoming atmospheric turbulence. Describing the turbulence on a zonal basis enables the encapsulation of the standard frozen-flow assumption into a control-oriented model. A multilayer zonal model is proposed for single-conjugate AO (SCAO) systems. It includes an edge compensation mechanism involving limited support, which results in a sparser model structure. To further reduce the computational complexity, new resultant zonal models localized in the telescope pupil are proposed, with AR1 or AR2 structures, that match the spatial and temporal cross-correlations of the incoming turbulence. The global performance of the resulting linear quadratic Gaussian (LQG) regulator is evaluated using end-to-end simulations and compared to several existing controllers for two different configurations: a very large telescope SCAO and low earth orbit satellite tracking. The results show the high potential of the new approach and highlight possible trade-offs between the performance and complexity. (C) 2020 Optical Society of America
机译:本文介绍了一种基于模型的自适应光学(AO)控制的基于模型的方法,基于进入的大气湍流的区域(即像素化)表示。描述区域基础上的湍流使得能够将标准的冻结流假设封装成面向对接的模型。提出了一种多层Zonal模型,用于单缀合物AO(SCAO)系统。它包括涉及有限支撑的边缘补偿机制,这导致稀疏模型结构。为了进一步降低计算复杂性,提出了望远镜瞳孔中局部化的新的所得的所得的Zonal模型,其与AR1或AR2结构匹配进入湍流的空间和时间互相关。使用端到端模拟评估所得到的线性二次高斯(LQG)调节器的全局性能,并与两种不同配置的几个现有控制器相比:一个非常大的望远镜SCAO和低地球轨道卫星跟踪。结果显示了新方法的高潜力,并突出了性能和复杂性之间的可能权衡。 (c)2020美国光学学会

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