A Measurement Noise Rejection Method in the Feedback Control System Based on Noise Observer

被引:8
|
作者
Ning, Zongqi [1 ,2 ]
Mao, Yao [1 ,2 ]
Huang, Yongmei [1 ,2 ]
Xi, Zhou [1 ,2 ]
Zhang, Chao [1 ,2 ]
机构
[1] Chinese Acad Sci, Key Lab Opt Engn, Chengdu 610209, Peoples R China
[2] Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Peoples R China
基金
中国国家自然科学基金;
关键词
Noise measurement; Feedback control; Sensors; Frequency measurement; Control systems; Frequency control; Observers; Measurement noise suppression; noise observer; system stability; H-INFINITY CONTROL; DISTURBANCE-OBSERVER; ROBUSTNESS; COMPENSATION; PERFORMANCE; DESIGN; ERROR;
D O I
10.1109/JSEN.2020.3015837
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
In the conventional feedback control system, the control accuracy is affected by the measurement noise. In this article, a novel method is proposed for the purpose of the measurement noise rejection in the single-input single-output (SISO) feedback control system. By adding an inner noise observer loop in the conventional feedback loop, we apply the "observer-based" control method into the sensor output signal processing. The proposed method is capable of reducing the measurement noise in frequencies overlapping with the control bandwidth without affecting the tracking ability of the feedback control system. Moreover, this method is simple in that its noise suppression ability is merely decided by the Q-filter, which can be set as a constant. In addition, a necessary and sufficient condition for the system stability is presented considering the uncertainties of the real plant. It is shown that when the Q-filter is zero, the uncertainties of the plant cannot influence the stability of the system. To verify the effectiveness, both the tracking performance and noise rejection performance of the proposed method is simulated, comparing with the conventional feedback control system. Finally, laboratory experiment is conducted with a tracking mirror control system.
引用
收藏
页码:1686 / 1693
页数:8
相关论文
共 50 条
  • [21] A Variable Structure ADRC for Enhanced Disturbance Rejection and Improved Noise Suppression of PMSM Speed System
    Cao, Haiyang
    Deng, Yongting
    Zuo, Yuefei
    Liu, Xiufeng
    Wang, Jianli
    Lee, Christopher H. T.
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024,
  • [22] State observer for linear system with unknown input disturbance and sampled and delayed output with measurement noise
    Mohammed, Abdeldafia M.
    Wang, Haoping
    Tian, Yang
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 41 (03) : 749 - 759
  • [23] Disturbance rejection control of multiple integrators system by bounded linear extended observer based output feedback
    Zhang, Kai
    Zhou, Bin
    Yang, Xuefei
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (05) : 2953 - 2970
  • [24] Differential Error Feedback Active Noise Control With the Auxiliary Filter Based Mapping Method
    Shi, Chuang
    Du, Feiyu
    Liu, Chunyu
    Li, Huiyong
    IEEE SIGNAL PROCESSING LETTERS, 2022, 29 : 573 - 577
  • [25] Effects of Thrust Noise and Measurement Noise on Drag-Free and Attitude Control System
    Cui, Kai
    Liu, Hui
    Jiang, Wenjia
    Yu, Daren
    MICROGRAVITY SCIENCE AND TECHNOLOGY, 2020, 32 (02) : 189 - 202
  • [26] Noise Observer Based Sliding Mode Control for Time-Varying Delay Systems
    Cui, Yanliang
    Shi, Guangtian
    Xu, Lanlan
    Zhang, Xiaoan
    Li, Xue
    INTELLIGENT COMPUTING, NETWORKED CONTROL, AND THEIR ENGINEERING APPLICATIONS, PT II, 2017, 762 : 641 - 651
  • [27] A Study of Noise Effect in Feedback Control with White Noise Analysis
    Takahash, Taihei
    Watanabe, Noboru
    OPEN SYSTEMS & INFORMATION DYNAMICS, 2024, 31 (02)
  • [28] Feedback Active Noise Control Based Voice Enhancing Ear-Protection System
    Moon, Seong-Pil
    Chang, Tae-Gyu
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2017, 12 (04) : 1627 - 1633
  • [29] Friction and noise suppression for force control system based on integration of observer and force sensor information
    Yuki Nagatsu
    Hideki Hashimoto
    ROBOMECH Journal, 7
  • [30] Feedback active noise control based on forward-backward LMS predictor
    Pavithra, S.
    Narasimhan, S. V.
    SIGNAL IMAGE AND VIDEO PROCESSING, 2013, 7 (06) : 1083 - 1091