The study of dynamics modeling and composite control for large load robot

Fuli Zhang, Zhaohui Yuan, Sheng Dong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Robot is a hot topic in modern research. To meet the requirements of large power, high energy, large load and high speed, hydraulic driven manipulator is a priority. However, the micro deformation of manipulator under large load cannot be ignored. Therefore, dynamic modeling and control of large load manipulator are studied in this paper. Firstly, the force of large load manipulator is analyzed, and a reasonable mode is selected for the kinematic analysis of the deformation of the large load manipulator. Considering the damping factor, the dynamic model of large load manipulator is constructed by using the Lagrange method. Then, the coupling dynamic system of the manipulator is decomposed into two subsystems by using the small parameter perturbation method, and the complex control of large load manipulator system is carried out by using the inversion sliding mode control and LQR respectively. Finally, the effectiveness of the modeling and the feasibility of the control system are verified by simulation. It is of great significance for the theoretical research and control of hydraulic flexible manipulator.

Original languageEnglish
Title of host publicationProceedings of 2020 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages77-83
Number of pages7
ISBN (Electronic)9781728198736
DOIs
StatePublished - Jul 2020
Event2020 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2020 - Shenyang, China
Duration: 28 Jul 202030 Jul 2020

Publication series

NameProceedings of 2020 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2020

Conference

Conference2020 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2020
Country/TerritoryChina
CityShenyang
Period28/07/2030/07/20

Keywords

  • compound control system
  • Dynamic modeling
  • Robots

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