徐项项, 吴阳, 苏杭, 刘金龙, 杨慧珍, 龚成龙. 基于FPGA的自适应光学系统SPGD算法实现[J]. 应用光学, 2023, 42(5): 810. Xiangxiang XU, Yang WU, Hang SU, Jinlong LIU, Huizhen YANG, Chenglong GONG. FPGA -based SPGD algorithm implementation of adaptive optical system[J]. Journal of Applied Optics, 2023, 42(5): 810.
基于FPGA的自适应光学系统SPGD算法实现 <中国自适应光学>
应用光学, 2023, 42 (5): 810, 网络出版: 2023-09-23 基于FPGA的自适应光学系统SPGD算法实现 下载： 819次FPGA -based SPGD algorithm implementation of adaptive optical systemGet PDFFull Text图表MetricsMore 徐项项 1吴阳 1苏杭 1刘金龙 1,*杨慧珍 1,2龚成龙 1 作者单位 1 江苏海洋大学 电子工程学院，江苏 连云港 2220052 江苏省海洋资源开发研究院，江苏 连云港 222005自适应光学系统 SPGD控制算法 FPGA 变形镜 adaptive optics system SPGD control algorithm FPGA deformable mirror 摘要FPGA（field programmable gate array）具有可重复编程、算法实现灵活等优势，以97单元变形镜为原型，提出基于FPGA的SPGD（stochastic parallel gradient descent algorithm）控制算法通用快速实现方案。采用TimeGen软件对SPGD算法进行时序分析，并采用Vivado软件分别对SPGD算法随机扰动电压生成、性能指标计算和控制电压的计算与输出进行FPGA配置和编程，将每个模块的计算结果与Matlab结果进行对比、分析。研究结果证明了该文所提方案的合理性和可行性，为下一步基于FPGA的SPGD算法硬件实现和应用提供基础。 AbstractThe field programmable gate array (FPGA) has the advantages of repeatable programming and flexible algorithm implementation. With 97-element deformable mirror as the prototype, the general and rapid implementation scheme of the FPGA-based stochastic parallel gradient descent (SPGD) control algorithm was proposed. Firstly, the TimeGen software was adopted to analyze the time sequence of the SPGD algorithm. Secondly, the Vivado software was adopted to configure and programme the FPGA of the SPGD algorithm in the field of random disturbance voltage generation, performance indexes calculation, as well as control voltage calculation and output. Finally, the calculation results of each module and those of Matlab were compared and analyzed. The results prove the rationality and feasibility of the proposed scheme and provide the basis for the next step of hardware implementation and application of FPGA-based SPGD algorithm. PDF全文
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