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Adaptive-Control of Controlled Floating Space Robots Based on Fully-Actuated System Theory

  • Shengze Yuan*
  • , Shuai Yuan*
  • *Corresponding author for this work
  • Harbin Institute of Technology

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

Abstract

As human exploration of extraterrestrial space deepens, traditional space robots face challenges in effectively completing missions due to a growing demand for on-orbit service and several realistic factors. Consequently, controlled floating space robot has become a more significant research subject. However, its complex dynamic characteristics make current control techniques difficult to directly apply for adaptive-control. Consider that the contraction theory has promising performance in complex system control, this paper addresses the complex dynamic model of controlled floating space robots and combines the theory of parameter system reconstruction in fully-actuated systems with contraction theory to design efficient adaptive controller, in order to mitigate the impact of space perturbations and input constraints. This paper provides new perspectives for adaptive-control in the domain of space robotics.

Original languageEnglish
Title of host publication2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference, ONCON 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350357974
DOIs
StatePublished - 2023
Event2nd IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2023 - Virtual, Online, United States
Duration: 8 Dec 202310 Dec 2023

Publication series

Name2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference, ONCON 2023

Conference

Conference2nd IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2023
Country/TerritoryUnited States
CityVirtual, Online
Period8/12/2310/12/23

Keywords

  • contraction theory
  • fully-actuated system parameter reconstruction
  • ontrolled floating space robots
  • robust adaptive-control

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