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A Multiplatform CPU-Based Architecture for Cost-Effective Adaptive Optics Systems

机译：具有成本效益的自适应光学系统的基于多平台CPU的体系结构

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摘要

An adaptive optics (AO) system is composed of three key elements: a wave-front sensor (WFS) that detects the aberrations, a deformable mirror (DM) that provides the wavefront correction, and a closed-loop control system that elaborates the measurements acquired by the sensor and sends commands to the mirror. The control system can be implemented on a dedicated platform (e.g., field programmable gate array) or on general-purpose platforms (e.g., central processing unit (CPU), graphics processing unit). Dedicated hardware guarantees high performance but needs more development time and programming skills than general-purpose hardware, leading to a less maintainable system for the end user. The proposed solution aims to be a cost-effective multiplatform CPU-based flexible framework. The software, developed in C++ and using Eigen and Qt libraries, provides the tools to tune and control the AO system from wavefront measurement settings to controller parameters. A logging feature allows in-depth offline data analysis, while scripting enables execution of batch experiments. The AO system is tuned and evaluated by interfacing the WFS and DM with our software architecture. The results show that the proposed solution is able to correct the aberrations of a low- to medium-size single conjugate AO system, with a control frequency up to $ext{500},{ext{Hz}}$ and computational latency of $ext{40},mu {ext{s}}$, using a consumer-grade notebook.
机译：自适应光学（AO）系统由三个关键要素组成：检测像差的波阵面传感器（WFS），提供波阵面校正的可变形镜（DM），以及详细测量的闭环控制系统由传感器获取并发送命令到后视镜。可以在专用平台（例如，现场可编程门阵列）上或在通用平台（例如，中央处理单元（CPU），图形处理单元）上实现控制系统。专用硬件可保证高性能，但比通用硬件需要更多的开发时间和编程技能，从而导致最终用户的系统维护较差。提出的解决方案旨在成为一种具有成本效益的基于多平台CPU的灵活框架。该软件使用C ++开发，并使用Eigen和Qt库，提供了从波前测量设置到控制器参数调节和控制AO系统的工具。日志记录功能允许进行深入的脱机数据分析，而脚本编写则可以执行批处理实验。通过将WFS和DM与我们的软件体系结构连接，可以调整和评估AO系统。结果表明，所提出的解决方案能够校正控制频率高达$ text {500} ，{ t​​ext {Hz}}的中小型单共轭AO系统的像差。 $和使用消费者级笔记本的$ text {40} ， mu { t​​ext {s}} $的计算延迟。

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