Evaluation of a predictive control applied to the tracking of the trajectory of a manipulator robot with 3-DOF

被引:0
作者
Torres, Hugo [1 ]
Urrea, Claudio [2 ]
Kern, John [2 ]
Alvarado-Cando, O. [1 ]
机构
[1] Univ Azuay, Escuela Ingn Elect, Cuenca, Ecuador
[2] Univ Santiago de Chile, Dept Ingn Elect, Santiago, Chile
来源
INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND ENERGY TECHNOLOGIES (ICECET 2021) | 2021年
关键词
Predictive control; Manipulator; 3-DOF; Prediction model; Direct kinematics; Dynamic; IMPLEMENTATION;
D O I
10.1109/ICECET52533.2021.9698450
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In the field of robotics, one of the problems is the error produced by the controllers in the follow up of a certain trajectory by the manipulator, for this reason the objective of this research is based on the execution a Predictive Controller for a robot of three degrees of freedom. The study presented in this document is mainly based on an investigation of the structure and the different elements involved in model based predictive control; the same ones that were applied to the control of a 3-DOF manipulator, for which it was necessary to analyze its kinematics and dynamics, which allowed the implementation and realization of its respective simulation with the help of Simulink from MatLab. To analyze the behavior of the manipulated, a trajectory was implemented, which allowed to analyze the error between the desired trajectory and the one carried out by the robot. In order to improve the predictive controller and reduce the error, the behavior was analyzed for different parameters of the prediction horizon, control intervals and control horizon, as well as the linearization of the plant.
引用
收藏
页码:555 / 560
页数:6
相关论文
共 13 条
  • [1] Belda K, 2017, 2017 21ST INTERNATIONAL CONFERENCE ON PROCESS CONTROL (PC), P339, DOI 10.1109/PC.2017.7976237
  • [2] Bouzoualegh Samir, 2019, 2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET). Proceedings, P84, DOI 10.1109/ASET.2019.8870999
  • [3] Camacho E., 2004, Revista Iberoamericana de Automatica e Informatica Industrial, V1, P5, DOI DOI 10.4995/RIAI
  • [4] Model Predictive Control With Integral Compensation for Motion Control of Robot Manipulator in Joint and Task Spaces
    Chen, Yuhan
    Luo, Xiao
    Han, Baoling
    Luo, Qingsheng
    Qiao, Lijun
    [J]. IEEE ACCESS, 2020, 8 (107063-107075): : 107063 - 107075
  • [5] Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot
    Faulwasser, Timm
    Weber, Tobias
    Zometa, Pablo
    Findeisen, Rolf
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2017, 25 (04) : 1505 - 1511
  • [6] Haruo Takatsu, 1996, P 35 C DECISION CONT, DOI [10.1109/CDC.1996.577570, DOI 10.1109/CDC.1996.577570]
  • [7] John Kern, 2011, LATIN AM J PHYS ED, V5, P824
  • [8] Implementation and Comparison of Controllers for Planar Robots
    Kern, John
    Urrea, Claudio
    Torres, Hugo
    [J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2017, 12 (02) : 926 - 936
  • [9] MAINA M., 2012, CONTROL PREDICTIVO B
  • [10] Ortega-Vidal A., 2020, 2020 IEEE 27 INT C E, P1, DOI DOI 10.1109/INTERCON50315.2020.9220263