Direct Data-Driven Vibration Control for Adaptive Optics

被引:0
|
作者
Gupta, Vaibhav [1 ]
Karimi, Alireza [1 ]
Wildi, Francois [2 ]
Veran, Jean-Pierre [3 ]
机构
[1] Ecole Polytech Fed Lausanne, Lab Automat, CH-1015 Lausanne, Switzerland
[2] Univ Geneva, Dept Astron, 51 Ch Maillettes Sauverny, CH-1290 Versoix, Switzerland
[3] Natl Res Council Canada, Herzberg Inst Astrophys, 5071 W Saanich Rd, Victoria, BC V9E 2E7, Canada
来源
2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC | 2023年
关键词
FREQUENCY-DOMAIN; DESIGN;
D O I
10.1109/CDC49753.2023.10383356
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Adaptive optics (AO) systems are used in ground-based telescopes to improve image resolutions, especially for long-exposure photography, by compensating for the effects of atmospheric turbulence and internal vibrations. Most current AO systems are based on simple control laws that either neglect the temporal correlation in atmospheric turbulence, use a simplified system model, or both. This paper presents a direct data-driven control scheme to compute an optimal controller using the frequency-domain representation of the disturbance and the system model. Numerical simulations of the AO system demonstrate performance improvement compared to standard AO control schemes, and resilience to the variance in atmospheric turbulence and internal vibrations.
引用
收藏
页码:8521 / 8526
页数:6
相关论文
共 50 条
  • [31] A kernel-based nonparametric approach to direct data-driven control of LTI systems
    Cerone, V.
    Regruto, D.
    Abuabiah, M.
    Fadda, E.
    IFAC PAPERSONLINE, 2018, 51 (15): : 1026 - 1031
  • [32] On identification methods for direct data-driven controller tuning
    van Heusden, Klaske
    Karimi, Alireza
    Soderstrom, Torsten
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2011, 25 (05) : 448 - 465
  • [33] Data-driven predictive control for networked control systems
    Xia, Yuanqing
    Xie, Wen
    Liu, Bo
    Wang, Xiaoyun
    INFORMATION SCIENCES, 2013, 235 : 45 - 54
  • [34] A data-driven approach to nonlinear braking control
    Novara, Carlo
    Formentin, Simone
    Savaresi, Sergio M.
    Milanese, Mario
    2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2015, : 1453 - 1458
  • [35] Constant Reference Tracking in Data-driven Control
    Umar, Abdul Aris
    Kim, Jung-Su
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2025, 23 (02) : 611 - 619
  • [36] Distributed Data-Driven Control of Transportation Networks
    Toro, Vladimir
    Mojica-Nava, Eduardo
    Rakoto-Ravalontsalama, Naly
    IFAC PAPERSONLINE, 2022, 55 (10): : 239 - 244
  • [37] Data-Driven Dynamic Internal Model Control
    Chi, Ronghu
    Zhang, Huimin
    Li, Huaying
    Huang, Biao
    Hou, Zhongsheng
    IEEE TRANSACTIONS ON CYBERNETICS, 2024, 54 (09) : 5347 - 5359
  • [38] Passive iFIR Filters for Data-Driven Control
    Wang, Zixing
    Huo, Yongkang
    Forni, Fulvio
    IEEE CONTROL SYSTEMS LETTERS, 2024, 8 : 1289 - 1294
  • [39] On Persistency of Excitation and Formulas for Data-driven Control
    De Persis, C.
    Tesi, P.
    2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 873 - 878
  • [40] Adaptive Safe Experimentation Dynamics for Data-Driven Neuroendocrine-PID Control of MIMO Systems
    bin Ghazali, Mohd Riduwan
    bin Ahmad, Mohd Ashraf
    Ismail, Raja Mohd Taufika bin Raja
    IETE JOURNAL OF RESEARCH, 2022, 68 (03) : 1611 - 1624