Iterative Control Decoupling Tuning by Feedforward Compensation for Precision Motion Stage

被引:0
|
作者
Zhao, Hongyang [1 ]
Li, Li [1 ]
Liu, Yang [1 ,2 ]
机构
[1] Harbin Inst Technol, Key Lab Ultraprecis Intelligent Instrumentat, Minist Ind & Informat Technol, Harbin 150001, Peoples R China
[2] Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
Multiple-input multiple-output (MIMO) control system; crosstalk; control decoupling; iterative feedforward tuning; precision motion stage; WAFER STAGE;
D O I
10.1109/DDCLS58216.2023.10167151
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In multi-input multi-output (MIMO) ultra-precision motion control system, high-performance decoupling method is the key to reduce the interactions between different degree of freedoms (DOFs). However, the manufacturing and assembling errors will greatly affect the decoupling performance. Some non-negligible factors, such as the center of gravity (CoG) and actuator positions, cannot be accurately determined, which will deteriorate the control accuracy. To tackle this problem, an iterative control decoupling tuning method by feedforward compensation is proposed in this paper. The proposed strategy using feedback signal to tune the parameters of feedforward compensator iteratively and further compensate for the closed-loop dynamics. The simulation results show that the proposed method is more effective, including the convergence accuracy, convergence speed and the improvement of the tracking error caused by the coupling.
引用
收藏
页码:1812 / 1817
页数:6
相关论文
共 50 条
  • [31] Iterative learning control bandwidth tuning using the particle swarm optimization technique for high precision motion
    Huang, Yi-Cheng
    Su, Yi-Wei
    Chuo, Po-Chou
    MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2017, 23 (02): : 361 - 370
  • [32] Data-Driven Self-Tuning Feedforward Control by Iterative Learning Control
    Noack, Rene
    Jeinsch, Torsten
    Sari, Adel Haghani Abandan
    Weinhold, Nick
    2014 IEEE 23RD INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2014, : 2439 - 2444
  • [33] High precision electromagnetic control and feedforward compensation of gravimeter reference prism
    Wang X.
    Xue S.
    Li N.
    Xiao A.
    Dong W.
    Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2023, 31 (07): : 696 - 706
  • [34] PMSM High Precision Position Servo Control Based on Feedforward Compensation
    Zhang, Xianting
    Zhang, Ziqiang
    Ma, Ruiqing
    Mi, Qianbao
    Zhang, Yuchen
    2022 25TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2022), 2022,
  • [35] Combined Feedforward Control and Disturbance Rejection Control Design for a Wafer Stage: A Data-Driven Approach Based on Iterative Parameter Tuning
    Cao, Mingsheng
    Bo, Yumeng
    Gao, Huibin
    IEEE ACCESS, 2020, 8 (08): : 181224 - 181232
  • [36] Iterative Tuning With Reactive Compensation for Urban Traffic Signal Control
    Wang, Yu
    Wang, Danwei
    Jin, Shangtai
    Xiao, Nan
    Li, Yitong
    Frazzoli, Emilio
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2017, 25 (06) : 2047 - 2059
  • [37] An Iterative Tuning Method for Feedforward Control of Parallel Manipulators Considering Nonlinear Dynamics
    Wang, Xiaojian
    Wu, Jun
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2025, 38 (01)
  • [38] An iterative tuning approach for feedforward control of parallel manipulators by considering joint couplings
    Liu, Qi
    Xiao, Juliang
    Yang, Xu
    Liu, Haitao
    Huang, Tian
    Chetwynd, D. G.
    MECHANISM AND MACHINE THEORY, 2019, 140 : 159 - 169
  • [39] Hybrid Fuzzy Decoupling Control for a Precision Maglev Motion System
    Zhou, Haibo
    Deng, Hua
    Duan, Ji'an
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2018, 23 (01) : 389 - 401
  • [40] Design and Simulation of Fresh Air Conditioning Control System Based on Feedforward Compensation Decoupling
    Gao, Huixiu
    Wei, Jun
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 6077 - 6081