Concepts of model-based control and trajectory planning for parallel robots

被引:0
作者
Belda, Kvetoslav [1 ]
Boehm, Josef [1 ]
Pisa, Pavel [1 ]
机构
[1] Acad Sci Czech Republic, Inst Informat Theory & Automat, Dept Adapt Syst, Pod Vodarenskou Vezi 4, CR-18208 Prague 8, Czech Republic
来源
PROCEEDINGS OF THE 13TH IASTED INTERNATIONAL CONFERENCE ON ROBOTICS AND APPLICATIONS/PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON TELEMATICS | 2007年
关键词
multi-level control; predictive control; trajectory planning;
D O I
暂无
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
The paper deals with the concepts of model-based control and trajectory planning intended for industrial parallel robots. These robots are characterized by very good dynamical properties arisen from small number of moving masses in comparison with conventional configurations. In the paper, multi-level (hierarchical) control will be investigated. It can be specified as a model-based control providing positional and speed loops with addition of fast low-level current-loop control. As a suitable representative of model-based control, predictive control is considered. Described concept can offer more possibilities to manage the control process than usual cascade control. Finally, the paper outlines two different concepts of trajectory planning. The first concept considers only pure geometrical features (curve-based planning) without relation to the real robots. The second concept conversely takes into account the dynamical features of the real robot with initial and final points (point-to-point planning).
引用
收藏
页码:15 / +
页数:2
相关论文
共 50 条
  • [41] Trajectory Planning of Quadrotor UAV with Suspended Payload Based on Predictive Control
    Sun, Binghan
    Hu, Chaofang
    Cao, Lei
    Wang, Na
    Zhou, Yimin
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 10049 - 10054
  • [42] A machine learning based energy efficient trajectory planning approach for industrial robots
    Yin, Shubin
    Ji, Wei
    Wang, Lihui
    52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS), 2019, 81 : 429 - 434
  • [43] Model Predictive Control-based Trajectory Planning for Quadrotors with State and Input Constraints
    Lin, Penghong
    Chen, Songlin
    Liu, Chang
    2016 16TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2016, : 1618 - 1623
  • [44] Model-based analysis and motion planning for the BionicKangaroo
    Graichen, Knut
    Hentzelt, Sebastian
    Hildebrandt, Alexander
    Kaercher, Nadine
    Gaissert, Nina
    Knubben, Elias
    AT-AUTOMATISIERUNGSTECHNIK, 2015, 63 (08) : 606 - 620
  • [45] Manipulator Trajectory Planning Based on ZigBee for Remote Control
    Chen, Xue-feng
    Wu, Huai-yu
    Zhang, Feng-mei
    Han, Tao
    Liu, Bo
    2012 6TH INTERNATIONAL CONFERENCE ON NEW TRENDS IN INFORMATION SCIENCE, SERVICE SCIENCE AND DATA MINING (ISSDM2012), 2012, : 556 - 561
  • [46] Manipulator Trajectory Planning and Control Method Based on IMU
    Qian, Li
    Hao, Wu
    Peng, Wang
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ROBOTICS, CONTROL AND AUTOMATION ENGINEERING (RAE 2018) AND INTERNATIONAL CONFERENCE ON ADVANCED MECHANICAL AND ELECTRICAL ENGINEERING (AMEE 2018), 2018, : 132 - 136
  • [47] A bilevel programming model for autonomous intersection control and trajectory planning
    Zhao, Weiming
    Liu, Ronghui
    Ngoduy, Dong
    TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2021, 17 (01) : 34 - 58
  • [48] A GRAPH-SEARCHING APPROACH TO TRAJECTORY PLANNING OF ROBOTS
    JACAK, W
    DULEBA, I
    ROGALINSKI, P
    ROBOTICA, 1992, 10 : 531 - 537
  • [49] Trajectory planning system in modular design for mobile robots
    Gradetsky, VG
    Veshnikov, VB
    Kalinichenko, SV
    Liapunov, VM
    Fedorov, VV
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON CLIMBING AND WALKING ROBOTS, CLAWAR 99, 1999, : 887 - 900
  • [50] Trajectory planning method of guide robots for achieving the guidance
    Mizobuchi, Yoshinobu
    Wang, Shuoyu
    Kawata, Koichi
    Yamamoto, Masaki
    2005 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, 2006, : 705 - +