Observer-Based Adaptive Finite-Time Contact Force Tracking Control for Pneumatic Polishing System

被引:3
|
作者
Shi, Yan [1 ]
Yang, Zhiguo [1 ]
Wang, Yixuan [2 ]
Xu, Shaofeng [1 ]
Sun, Zhibo [2 ]
Wu, Jifan [3 ]
Wang, Changhui [4 ]
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[2] Beihang Univ, Beihang Engn Training Ctr, Beijing 100191, Peoples R China
[3] Zhenjiang Easun Pneumat Sci & Technol Co Ltd, Ningbo 315399, Zhejiang, Peoples R China
[4] Yantai Univ, Sch Electromech & Automot Engn, Yantai 264005, Peoples R China
关键词
Force; Valves; Force control; Surface treatment; Sensors; Adaptive systems; Process control; Adaptive control; finite-time; force control; polishing system; NONLINEAR-SYSTEMS; STABILIZATION;
D O I
10.1109/JSEN.2024.3383499
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
Pneumatic drive has the advantage of flexible contact, widely used in large-diameter complex optical surface element processing device drive. Polishing is the core step in the machining process of large-diameter complex optical surface elements. The high-precision control of the contact force between the polishing device and the machining element directly affects the machining accuracy of the surface element. The current research on the polishing force control strategy does not fully consider the constraints of the pneumatic polishing system and the saturation of the cylinder as an actuating element, which cannot further improve the response speed of the control algorithm. In view of the above problems, this article proposes an adaptive finite-time force tracking control strategy for pneumatic polishing system by fully considering the saturation characteristics of the actuator and the constraint conditions. The algorithm further simplifies the control parameters, improves the computational efficiency of the controller, and realizes accurate force tracking in finite time. The finite-time stability of the control strategy is verified by theoretical analysis. An experimental platform for pneumatic polishing force feedback control is built to verify the effectiveness of the control strategy and its adaptability to pneumatic polishing system.
引用
收藏
页码:19801 / 19812
页数:12
相关论文
共 50 条
  • [1] Observer-based adaptive neural network force tracking control for pneumatic polishing system end-effector with actuator saturation
    Yang, Zhiguo
    Kou, Jiange
    Li, Zhanxin
    Ma, Yushan
    Zhao, Wenbo
    Wang, Yixuan
    Shi, Yan
    NEUROCOMPUTING, 2025, 633
  • [2] Observer-based adaptive fuzzy finite-time tracking control of switched nonlinear systems
    Tong, Miao
    Wang, Huanqing
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2022, 53 (11) : 2407 - 2420
  • [3] Disturbance Observer-Based Adaptive Finite-Time Attitude Tracking Control for Rigid Spacecraft
    Zhang, Jinhui
    Zhao, Weishuang
    Shen, Ganghui
    Xia, Yuanqing
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (11): : 6606 - 6613
  • [4] Observer-based Finite-time Model Reference Adaptive State Tracking Control with Actuator Saturation
    Wang, Zhiqiang
    He, Dakuo
    Zhang, Qiang
    Shi, Jiahui
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2020, 18 (11) : 2721 - 2733
  • [5] Observer-based Finite-time Tracking Control for Formations of Mobile Robots
    Sun, Tairen
    Yu, Xin
    Liu, Guohai
    26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 3675 - 3680
  • [6] Observer-based Finite-time Model Reference Adaptive State Tracking Control with Actuator Saturation
    Zhiqiang Wang
    Dakuo He
    Qiang Zhang
    Jiahui Shi
    International Journal of Control, Automation and Systems, 2020, 18 : 2721 - 2733
  • [7] Observer-Based Adaptive Finite-Time Tracking Control for a Class of Switched Nonlinear Systems With Unmodeled Dynamics
    Chang, Yi
    Zhang, Shuo
    Alotaibi, N. D.
    Alkhateeb, A. F.
    IEEE ACCESS, 2020, 8 : 204782 - 204790
  • [8] Observer-based finite-time control for trajectory tracking of lower extremity exoskeleton
    Wang, Jie
    Liu, Jiahao
    Chen, Lingling
    Guo, Shijie
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2021, 236 (02) : 257 - 269
  • [9] Finite-time tracking control for pneumatic servo system via extended state observer
    Zhao, Ling
    Zhang, Bin
    Yang, Hongjiu
    Wang, Yingjie
    IET CONTROL THEORY AND APPLICATIONS, 2017, 11 (16): : 2808 - 2816
  • [10] Observer-Based Adaptive Fuzzy Finite-Time Attitude Control for Quadrotor UAVs
    Liu, Kang
    Yang, Po
    Wang, Rujing
    Jiao, Lin
    Li, Tao
    Zhang, Jie
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2023, 59 (06) : 8637 - 8654