Residual Vibration Suppression by an Integrated Method of Parameter Identification and Input Shaping

被引:0
|
作者
Li, Lin [1 ]
Hu, Xiqin [1 ]
Zou, Yanbiao [1 ]
机构
[1] School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou,510641, China
关键词
Degrees of freedom (mechanics) - Modal analysis - Industrial robots - Timing circuits - Computer control systems - Robotic arms - Delay control systems;
D O I
10.16450/j.cnki.issn.1004-6801.2019.03.016
中图分类号
学科分类号
摘要
Serious residual vibrations are widely and frequently observed when industrial robots are conducting fast motions. Input shaping technology is used to reduce the residual vibration of many systems by generating a command signal that is self-canceling. It is difficult to obtain the modal parameters of the system due to the modeling errors. Thus, the residual vibration are never exactly suppressed on real systems. In the light of these problems, an integrated method of parameter identification and input shaping technology is proposed and a modified input shaping approach is developed, The time delay introduced by conventional input shaping technique is fully compensated in the proposed approach. In order to achieve the precise and rapid rest-to-rest motion, a single degree-of-freedom robot arm is used as an application case. Experimental results show that theproposed method significantly reduces the residual vibrationof the robot arm,the maximum amplitude of residual vibration is only 31% of the original's. At the same time, the settle time is shortened from 0.118 s to 0.043 s, and the total time of motion control is reduced from 1.738 s to 1.643 s. © 2019, Editorial Department of JVMD. All right reserved.
引用
收藏
页码:565 / 570
相关论文
共 50 条
  • [21] From input shaping® and OATF to vibration suppression shape filter
    Zhou, L
    Misawa, EA
    [J]. ACC: PROCEEDINGS OF THE 2005 AMERICAN CONTROL CONFERENCE, VOLS 1-7, 2005, : 762 - 767
  • [22] Input shaping prefilter for vibration mitigation of distributed parameter system
    Heining, Andre
    Sawodny, Oliver
    [J]. MECHATRONICS, 2023, 93
  • [23] Deep Neural Network Input Shaper for Residual Vibration Suppression
    Zhang, Tie
    Kang, Zhongqiang
    Zou, Yanbiao
    Liao, Cailei
    [J]. Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2021, 49 (08): : 103 - 112
  • [24] Vibration suppression for a class of flexible manipulator control with input shaping technique
    Liu, Ke-Ping
    Li, Yuan-Chun
    [J]. PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 835 - +
  • [25] Combined Feedback Control and Input Shaping for Vibration Suppression of Flexible Spacecraft
    Kong Xianren
    Yang Zhengxian
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-7, CONFERENCE PROCEEDINGS, 2009, : 3257 - 3262
  • [26] Finite Element Input Shaping Design for Vibration Suppression of Mechatronics Systems
    Chen, Weiju
    Chen, Kuo-Shen
    Tsai, Mi-Ching
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS (ICM), 2019, : 37 - 42
  • [27] Vibration suppression for forging robots based on input shaping and sliding mold
    Yuan, Mingxin
    Wang, Lili
    Chen, Weibin
    Qiu, Beibei
    Xu, Yusong
    [J]. Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 28 (01): : 102 - 111
  • [28] Suppression of Cable Suspended Parallel Manipulator Vibration Utilizing Input Shaping
    Montgomery, Forrest
    Vaughan, Joshua
    [J]. 2017 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA 2017), 2017, : 1480 - 1485
  • [29] PERFORMANCE OF HYBRID LEARNING CONTROL WITH INPUT SHAPING FOR INPUT TRACKING AND VIBRATION SUPPRESSION OF A FLEXIBLE MANIPULATOR
    Zain, M. Z. Md.
    Tokhi, M. O.
    Mohamed, Z.
    [J]. JURNAL TEKNOLOGI, 2006, 44
  • [30] Residual Vibration Reduction for a Flexible Positioning System Using Input Shaping Technique
    Wu, Jinbo
    Xu, Guohua
    Yin, Zhouping
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 443 - +