FPGA-accelerated Adaptive Optics Wavefront Control Part 2

被引:3
|
作者
Mauch, S. [1 ]
Barth, A. [1 ]
Reger, J. [1 ]
Reinlein, C. [2 ]
Appelfelder, M. [2 ]
Beckert, E. [2 ]
机构
[1] Tech Univ Ilmenau, Dept Comp Sci & Automat, Control Engn Grp, D-98693 Ilmenau, Germany
[2] Fraunhofer Inst Appl Opt & Precis Engn IOF, D-07745 Jena, Germany
关键词
adaptive optics; SHWFS; rapid control prototyping; FPGA; deformable mirror; high power laser processing; performance examination; Linux real-time system;
D O I
10.1117/12.2079010
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We present progressive work that is based on our recently developed rapid control prototyping system (RCP), designed for the implementation of high-performance adaptive optical control algorithms using a continuous deformable mirror (DM). The RCP system, presented in 2014, is resorting to a Xilinx Kintex-7 Field Programmable Gate Array (FPGA), placed on a self-developed PCIe card, and installed on a high-performance computer that runs a hard real-time Linux operating system. For this purpose, algorithms for the efficient evaluation of data from a Shack-Hartmann wavefront sensor (SHWFS) on an FPGA have been developed. The corresponding analog input and output cards are designed for exploiting the maximum possible performance while not being constrained to a specific DM and control algorithm due to the RCP approach. In this second part of our contribution, we focus on recent results that we achieved with this novel experimental setup. By presenting results which are far superior to the former ones, we further justify the deployment of the RCP system and its required time and resources. We conducted various experiments for revealing the effective performance, i.e. the maximum manageable complexity in the controller design that may be achieved in realtime without performance losses. A detailed analysis of the hidden latencies is carried out, showing that these latencies have been drastically reduced. In addition, a series of concepts relating the evaluation of the wavefront as well as designing and synthesizing a wavefront are thoroughly investigated with the goal to overcome some of the prevalent limitations. Furthermore, principal results regarding the closed-loop performance of the low-speed dynamics of the integrated heater in a DM concept are illustrated in detail; to be combined with the piezo-electric high-speed actuators in the next step.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] FPGA-accelerated adaptive projection-based image registration
    Mondal, Pulak
    Banerjee, Swapna
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2021, 18 (01) : 113 - 125
  • [2] FPGA-Accelerated Optimistic Concurrency Control for Transactional Memory
    Li, Zhaoshi
    Liu, Leibo
    Deng, Yangdong
    Wang, Jiawei
    Liu, Zhiwei
    Yin, Shouyi
    Wei, Shaojun
    MICRO'52: THE 52ND ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE, 2019, : 911 - 923
  • [3] FPGA-accelerated adaptive projection-based image registration
    Pulak Mondal
    Swapna Banerjee
    Journal of Real-Time Image Processing, 2021, 18 : 113 - 125
  • [4] The implementation of adaptive optics wavefront spot extraction on FPGA
    Zhang, Yanyan
    Chen, Suting
    Li, Mei
    JOURNAL OF OPTICAL TECHNOLOGY, 2013, 80 (01) : 49 - 53
  • [5] FPGA-accelerated Quantum Transport Measurements
    Haarman, Timo
    de Almeida, Antonio Sousa
    Heskes, Amber
    Zwanenburg, Floris
    Alachiotis, Nikolaos
    2023 INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE TECHNOLOGY, ICFPT, 2023, : 44 - 52
  • [6] FPGA-accelerated simulation of computer systems
    1600, Morgan and Claypool Publishers (09):
  • [7] FPGA-Accelerated Spreading for Global Placement
    Dhar, Shounak
    Singhal, Love
    Iyer, Mahesh A.
    Pan, David Z.
    2019 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC), 2019,
  • [8] FPGA-accelerated simulation of computer systems
    1600, Morgan and Claypool Publishers (29):
  • [9] FPGA-accelerated Complex Event Processing
    Takenaka, Takashi
    Inoue, Hiroaki
    Hosomi, Takeo
    Nakamura, Yuichi
    2015 SYMPOSIUM ON VLSI CIRCUITS (VLSI CIRCUITS), 2015,
  • [10] Trust in FPGA-accelerated Cloud Computing
    Turan, Furkan
    Verbauwhede, Ingrid
    ACM COMPUTING SURVEYS, 2021, 53 (06)