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Adaptive Optics H_2-optimal Control Design Applied on an Experimental Setup

机译:自适应光学器件H_2 - 实验设置应用的最优控制设计

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Most adaptive optics systems (AO) are based on a simple control law that is unable to account for the temporal evolution of the wavefront. In this paper, a recently proposed data-driven H_2-optimal control approach is demonstrated on an AO laboratory setup. The proposed control approach does not assume any form of decoupling and can therefore exploit the spatio-temporal correlation in the wavefront. The performance of the optimal control approach is compared with a conventional method. An analysis of the dominant error sources shows that the optimal control approach leads to a significant reduction in the temporal error. Since the temporal error grows with the Greenwood to sampling frequency ratio, the performance gain is especially large at large ratios.
机译:大多数自适应光学系统(AO)基于一个简单的控制法,无法考虑波前的时间演变。 在本文中,在AO实验室设置上证明了最近提出的数据驱动的H_2最优控制方法。 所提出的控制方法不假设任何形式的去耦,因此可以利用波前的时空相关性。 将最佳控制方法的性能与传统方法进行比较。 对主导误差源的分析表明,最佳控制方法导致时间误差的显着降低。 由于时间误差随着Greenwood到采样频率比而生长,因此性能增益特别大。

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