REAL-TIME IDENTIFICATION OF ROBOT - DYNAMIC PARAMETERS USING PARALLEL-PROCESSING .2. IMPLEMENTATION AND TESTING

被引:0
|
作者
TEMELTAS, H
ASHER, GM
机构
[1] Univ of Nottingham, Nottingham
来源
关键词
ROBOTICS; ROBOT DYNAMICS; PARAMETER ESTIMATION; PARALLEL PROCESSING;
D O I
10.1049/ip-cta:19951972
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper implements and demonstrates a parallel recursive estimator for the realtime identification of dynamic parameters for a general n-link high performance robot, The implementation entails the use of a parallel processor platform which includes the real-time simulation of the forward dynamics of the robot. The parallel estimator is first tested for parameter convergence using PRBS test signals and then tested in a closed loop robot control environment. A case study is presented showing the real-time convergence of the dynamic parameters following the application of a payload.
引用
收藏
页码:369 / 377
页数:9
相关论文
共 50 条
  • [11] Real-time testing of dynamic parameters of engine piston
    Fan, JB
    Pei, DX
    Ma, TH
    Zu, J
    ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 3000 - 3002
  • [12] FPGA Implementation of Image Processing for Real-Time Robot Vision System
    Hagiwara, Hayato
    Asami, Kenichi
    Komori, Mochimitsu
    CONVERGENCE AND HYBRID INFORMATION TECHNOLOGY, 2011, 206 : 134 - 141
  • [13] Kinematic and dynamic modelling for real-time control of Tau parallel robot
    Zhu, ZQ
    Li, JS
    Gan, ZX
    Zhang, H
    MECHANISM AND MACHINE THEORY, 2005, 40 (09) : 1051 - 1067
  • [14] Simplified Dynamic Model for Real-time Control of the Delta Parallel Robot
    Du, Jinzhao
    Lou, Yunjiang
    2016 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), 2016, : 1647 - 1652
  • [15] Data partitioning for parallel implementation of real-time video processing systems
    O'Nils, M
    Lilljefjäll, PR
    Thörnberg, B
    PROCEEDINGS OF THE 2005 EUROPEAN CONFERENCE ON CIRCUIT THEORY AND DESIGN, VOL 1, 2005, : 213 - 216
  • [16] A Real-time Video Processing Implementation with Massively Parallel Computation Support
    Shin, Woosuk
    Kim, Mingyu
    Park, Sukjun
    Baek, Nakhoon
    2020 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), 2020,
  • [17] Implementation of traffic flow measuring algorithm using real-time dynamic image processing
    Lee, TS
    Lee, EM
    Park, HT
    Kwag, YK
    Lim, SS
    Baek, JH
    Hwang, BW
    COMPUTER VISION SYSTEMS, PROCEEDINGS, 2003, 2626 : 78 - 87
  • [18] Real-time implementation of a Doppler signal spectral estimator using sequential and parallel processing techniques
    Madeira, MM
    Tokhi, MO
    Ruano, MG
    MICROPROCESSORS AND MICROSYSTEMS, 2000, 24 (03) : 153 - 167
  • [19] Parallel implementation of a real-time high dynamic range video system
    Guthier, Benjamin
    Kopf, Stephan
    Wichtlhuber, Matthias
    Effelsberg, Wolfgang
    INTEGRATED COMPUTER-AIDED ENGINEERING, 2014, 21 (02) : 189 - 202
  • [20] Towards Real-Time Image Processing: A GPGPU Implementation of Target Identification
    Heras, D. B.
    Arguello, F.
    Lopez Gomez, J.
    Priego, B.
    Becerra, J. A.
    DIGITAL IMAGE AND SIGNAL PROCESSING FOR MEASUREMENT SYSTEMS, 2012, : 235 - 265