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
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2023年 / 360卷 / 03期
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 38 条
  • [1] Machine tool feed drives
    Altintas, Y.
    Verl, A.
    Brecher, C.
    Uriarte, L.
    Pritschow, G.
    [J]. CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2011, 60 (02) : 779 - 796
  • [2] A SURVEY OF MODELS, ANALYSIS TOOLS AND COMPENSATION METHODS FOR THE CONTROL OF MACHINES WITH FRICTION
    ARMSTRONGHELOUVRY, B
    DUPONT, P
    DEWIT, CC
    [J]. AUTOMATICA, 1994, 30 (07) : 1083 - 1138
  • [3] Influence of design parameters on the effectiveness of friction isolators in mitigating pre-motion friction in mechanical bearings
    Dong, Xin
    Okwudire, Chinedum E.
    [J]. MECHATRONICS, 2020, 71 (71)
  • [4] An experimental investigation of the effects of the compliant joint method on feedback compensation of pre-sliding/pre-rolling friction
    Dong, Xin
    Okwudire, Chinedum E.
    [J]. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2018, 54 : 81 - 90
  • [5] Sliding bearing with adjustable friction properties
    Engel, T.
    Lechler, A.
    Verl, A.
    [J]. CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2016, 65 (01) : 353 - 356
  • [6] Futami S., 1990, Nanotechnology, V1, P31, DOI 10.1088/0957-4484/1/1/006
  • [7] Gao ZQ, 2003, P AMER CONTR CONF, P4989
  • [8] An adaptive speed observer for a class of nonlinear mechanical systems: Theory and experiments
    Guadalupe Romero, Jose
    Moreno, Jaime A.
    Maradiaga Aguilar, Alvaro Alejandro
    [J]. AUTOMATICA, 2021, 130
  • [9] Nonlinear identification and optimal feedforward friction compensation for a motion platform
    Guc, Ahmet Furkan
    Yumrukcal, Zafer
    Ozcan, Onur
    [J]. MECHATRONICS, 2020, 71
  • [10] LADRC applied to variable speed micro-hydro plants: Experimental validation
    Guo, Baoling
    Bacha, Seddik
    Alamir, Mazen
    Mohamed, Amgad
    Boudinet, Cedric
    [J]. CONTROL ENGINEERING PRACTICE, 2019, 85 : 290 - 298