Parallel-filter-based observer control for unknown multiple narrow-band disturbance rejection

被引:2
|
作者
Xu, TianRong [1 ,2 ]
Feng, Nian [1 ,2 ,3 ]
Ruan, Yong [1 ,2 ,3 ]
Tang, Tao [1 ,2 ]
机构
[1] Chinese Acad Sci, Key Lab Opt Engn, Chengdu 610209, Peoples R China
[2] Inst Opt & Elect, Chinese Acad Sci, Chengdu 610209, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100039, Peoples R China
基金
中国国家自然科学基金;
关键词
Narrow-band disturbance; Adaptive observers control; Parallel Q-filter; Multiple frequencies; TIP-TILT MIRROR; TRACKING; SYSTEMS; VIBRATION;
D O I
10.1016/j.isatra.2023.09.008
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An observer-based control method with parallel Q-filter is proposed to reject unknown multiple narrow-band disturbances for line of sight stabilization in telescope systems. In general, wide-band or multiple narrow-band disturbances rejection of observer-based control can be transformed into designing Q-filter, which could be too high-order to achieve fully-accuracy digital implementation, resulting in degrading the closed-loop performance or even causing instability. Therefore, a new parallel type of Q-filters is proposed to flexibly adjust the number of Q-filter in the sensitivity function and effectively reduce the computational complexity. A sufficient condition of the effectiveness for the parallel Q-filter and the closed-loop stability is derived and verified through simulations. Furthermore, disturbance frequencies can be on-line identified to adaptively optimize the Q-filter parameters. The effectiveness of the proposed method is validated on the image-based stabilization subsystem of a segmented lightweight large-scaled diffractive telescope. (c) 2023 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:622 / 629
页数:8
相关论文
共 50 条
  • [41] Disturbance rejection control for Raymond mill grinding system based on disturbance observer
    Niu Dan
    Chen Xi-song
    Yang Jun
    Zhou Xing-peng
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2017, 24 (09) : 2019 - 2027
  • [42] Optofluidic Tunable Linear Narrow-Band Filter Based on Bragg Nanocavity
    Fang, Chaolong
    Dai, Bo
    Xu, Qiao
    Wang, Qi
    Zhang, Dawei
    IEEE PHOTONICS JOURNAL, 2017, 9 (02):
  • [43] A peak filtering method with improved transient response for narrow-band disturbance rejection in hard disk drives
    Hong, Fan
    Pang, Chee Khiang
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2014, 45 (02) : 109 - 119
  • [44] Operator-Based Nonlinear Control with Unknown Disturbance Rejection
    Li, Mengyang
    Deng, Mingcong
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2017, E100A (04) : 982 - 988
  • [45] Disturbance Observer Based Control Design via Active Disturbance Rejection Control: A PMSM Example
    Aguilar-Orduna, M. A.
    Zurita-Bustamante, E. W.
    Sira-Ramirez, H.
    Gao, Z.
    IFAC PAPERSONLINE, 2020, 53 (02): : 1343 - 1348
  • [46] Improved Sliding Mode Nonlinear Extended State Observer based Active Disturbance Rejection Control for Uncertain Systems with Unknown Total Disturbance
    Abdul-Adheem, Wameedh Riyadh
    Ibraheem, Ibraheem Kasim
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (12) : 80 - 93
  • [47] Narrow-Band Microwave Planar Filter Using Multiple-Poled Hairpin Resonators
    Praludi, Teguh
    Sulaeman, Yaya
    Kurniawan, Dayat
    Syamsu, Iqbal
    ADVANCES OF SCIENCE AND TECHNOLOGY FOR SOCIETY, 2016, 1755
  • [48] Power active filter control based on a resonant disturbance observer
    Ramos Fuentes, German A.
    Cortes-Romero, John A.
    Zou, ZhiXiang
    Costa-Castello, Ramon
    Zhou, Keliang
    IET POWER ELECTRONICS, 2015, 8 (04) : 554 - 564
  • [49] Disturbance Observer and Kalman Filter Based Motion Control Realization
    Thao Tran Phuong
    Ohishi, Kiyoshi
    Mitsantisuk, Chowarit
    Yokokura, Yuki
    Ohnishi, Kouhei
    Oboe, Roberto
    Sabanovic, Asif
    IEEJ JOURNAL OF INDUSTRY APPLICATIONS, 2018, 7 (01) : 1 - 14
  • [50] Disturbance Observer Based Control of Shunt Active Power Filter
    Kurak, Sevkuthan
    NEW TECHNOLOGIES, DEVELOPMENT AND APPLICATION IV, 2021, 233 : 549 - 562