Structural design and active disturbance rejection control of rigid-flexible coupling motion stage for nanopositioning

被引:4
|
作者
Yang, Zhijun [1 ]
Huang, Ruirui [1 ]
Chen, Sen [2 ]
Su, Liyun [1 ]
Li, Ruiqi [1 ]
机构
[1] Guangdong Univ Technol, State Key Lab Precis Elect Mfg Technol & Equipment, Guangzhou 510006, Peoples R China
[2] Shaanxi Normal Univ, Sch Math & Stat, Xian 710119, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
SYSTEM; COMPENSATION; MODELS;
D O I
10.1016/j.jfranklin.2022.12.030
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Mechanical-bearing-guided motion stage is widely used in electronic manufacturing equipment for its excellent high-acceleration performance and low cost, but its positioning precision is limited by the friction of mechanical bearing. To this end, a rigid-flexible coupling motion stage (RFCMS) with compound flexure hinges (CFHs) and a single drive is designed to simultaneously achieve large stroke and nanoscale precision in this work. The friction dead zone is isolated by utilizing the bending deflection of CFHs. To suppress the resonance of CFHs and deal with nonlinear disturbances and uncertainties, a model-based active disturbance rejection control (model-based ADRC) is adopted based on the bending stiffness modeling of CFHs, which can improve the tracking accuracy for the position profile and reduce the estimating error of the extended state observer for the total disturbance. Despite the uncertain control input gain and the nonlinear coupling of the working stage and the rigid frame, the tracking and estimating errors of closed-loop system are theoretically investigated. Experimental results show that RFCMS with model-based ADRC strategy can achieve positioning accuracy within 100 nm in point-topoint motion and has strong robustness to load mass changes.(c) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2133 / 2158
页数:26
相关论文
共 50 条
  • [41] Realization of Globoidal Indexing Cam Mechanism Motion Simulation Based on Rigid-flexible Coupling
    Liu, Yansong
    Cao, Jujiang
    Li, Longgang
    2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL II, 2010, : 36 - 38
  • [42] Design and Kinematic Analysis of a Rigid-flexible Coupling Driven Parallel Spraying Robot
    Zhao, Jiahao
    Zi, Bin
    Jiang, Shanshan
    Xu, Feng
    2021 27TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP), 2021,
  • [43] Design of a robotic gripper for casting sorting robots with rigid-flexible coupling structures
    Wang, Cheng-jun
    Cheng, Biao
    ROBOTICA, 2024, 42 (08) : 2658 - 2676
  • [44] Robust output feedback attitude tracking control for rigid-flexible coupling spacecraft
    Ye, Dong
    Xiao, Yan
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018, 355 (18): : 9209 - 9223
  • [45] Motion tracking of a rigid-flexible link robotic system in an underactuated control mode
    Jarzebowska, Elzbieta
    Augustynek, Krzysztof
    Urbas, Andrzej
    BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCES, 2023, 71 (01)
  • [46] Rigid-flexible coupling identification and attitude control based on deep neural networks
    Zhong, Rui
    Zhao, Yunpeng
    Wang, Hongwen
    ADVANCES IN SPACE RESEARCH, 2022, 69 (03) : 1538 - 1549
  • [47] Fractional-Order Dynamics and Control of Rigid-Flexible Coupling Space Structures
    Sun, Guanghui
    Zhu, Zheng H.
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2015, 38 (07) : 1325 - 1330
  • [48] A Rigid-Flexible Supernumerary Robotic Arm/Leg: Design, Modeling, and Control
    Xu, Jiajun
    Zhao, Mengcheng
    Zhang, Tianyi
    Ji, Aihong
    ELECTRONICS, 2024, 13 (20)
  • [49] Robust Active Disturbance Rejection Control For Flexible Link Manipulator
    Fareh, Raouf
    Al-Shabi, Mohammad
    Bettayeb, Maamar
    Ghommam, Jawhar
    ROBOTICA, 2020, 38 (01) : 118 - 135
  • [50] Active Disturbance Rejection Control for a Flexible-Joint Manipulator
    Kordasz, Marta
    Madonski, Rafal
    Przybyla, Mateusz
    Sauer, Piotr
    ROBOT MOTION AND CONTROL 2011, 2012, 422 : 247 - 256