Advanced model-based robot control in Reis ROBOTstarV

被引:0
|
作者
Dresselhaus, M [1 ]
Kuczynski, A [1 ]
机构
[1] Reis Robot, D-63785 Obemburg, Germany
来源
2001 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS PROCEEDINGS, VOLS I AND II | 2001年
关键词
robot control; model-based methods; dynamic feedforward method;
D O I
暂无
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 a research project that was funded by the German Federal Government Department of Research an advanced robot control method was conceived and realised, in which a dynamic robot model is integrated in the joint control of the robot Reis RV6. By this model-based control method the path deviations are substantially reduced. This leads to a decrease of actuator input values and thus to lower loads at the actuators and to an improved control behaviour of the robot. As a result, both significant improvements in the path accuracy at high path dynamics and substantially reduced loads of motors and gears have been achieved. The new control method gives an important contribution to higher quality and productivity and also to higher service lives in many application cases.
引用
收藏
页码:583 / 588
页数:4
相关论文
共 50 条
  • [1] Model-based sliding functions design for sliding mode robot control
    Fallaha, Charles
    Saad, Maarouf
    INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2018, 30 (01) : 48 - 60
  • [2] Model-Based Control of a 3-DOF Parallel Robot Based on Identified Relevant Parameters
    Diaz-Rodriguez, Miguel
    Valera, Angel
    Mata, Vicente
    Valles, Marina
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2013, 18 (06) : 1737 - 1744
  • [3] Experiments with fuzzy logic robot control with model-based dynamic compensation in nonadaptive decentralized control scheme
    Vukobratovic, M
    Karan, B
    INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 1996, 11 (03): : 118 - 131
  • [4] Comparison of model-free and model-based methods for time optimal hit control of a badminton robot
    Depraetere, B.
    Liu, M.
    Pinte, G.
    Grondman, I.
    Babuska, R.
    MECHATRONICS, 2014, 24 (08) : 1021 - 1030
  • [5] Model-based trajectory tracking of a compliant continuum robot
    Pekris, Solomon
    Williams, Robert D.
    Atkins, Thibaud
    Georgilas, Ioannis
    Bailey, Nicola
    FRONTIERS IN ROBOTICS AND AI, 2024, 11
  • [6] Mixed Data-Driven and Model-Based Robot Implicit Force Control: A Hierarchical Approach
    Polverini, Matteo Parigi
    Formentin, Simone
    Merzagora, Luca
    Rocco, Paolo
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2020, 28 (04) : 1258 - 1271
  • [7] An advanced robot control scheme using ANN and fuzzy theory based solutions
    Rudas, IJ
    Bito, JF
    Tar, JK
    ROBOTICA, 1996, 14 : 189 - 198
  • [8] Editorial: Advanced Robot Control Techniques and Applications
    Journal of Intelligent and Robotic Systems, 2000, 27 (1-2): : 1 - 2
  • [9] Advanced solution for a benchmark robot control problem
    Varso, J
    Zenger, K
    Hölttä, V
    Koivo, H
    2005 IEEE International Symposium on Computational Intelligence in Robotics and Automation, Proceedings, 2005, : 373 - 378
  • [10] Model-Based Feed-Forward and Setpoint Generation in a Multi-Robot Sewing Cell
    Schrimpf, Johannes
    Bjerkeng, Magnus
    Lind, Morten
    Mathisen, Geir
    2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2015, : 2027 - 2033