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The Multi-objective Optimization of a Multi-loop Mechanism for Space Applications

  • Chuanyang Li
  • , Changhua Hu
  • , Rongqiang Liu
  • , Zhongbao Qin
  • , Huiyin Yan
  • , Hongwei Guo
  • , Hong Xiao*
  • *Corresponding author for this work
  • Rocket Force University of Engineering
  • Harbin Institute of Technology

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

Abstract

The double-tripod multi-loop mechanism (DTMLM) is expected to construct modular system for space applications, such as space capturing, thus requiring good performance, including good dynamics characteristics, kinematics features, and high actuation-transmission efficiency. This paper proposes local and global performance indicators in terms of kinematics and dynamics, by means of concept of the output-array ellipsoid. Then, the kinematics-and dynamics- performance drawings are plotted and then employed to indicate the relationship between the indicators and rod parameters. A multi-objective-optimization procedure is represented to calculate the weight coefficient of the indicators. The diagram of comprehensive evaluation indicators is henceforth plotted. Due to the optimization, r= 3 d0 is better for the DTMLM structures in space applications, which provides strong support in further structure-design process.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings
EditorsHonghai Liu, Weihong Ren, Zhouping Yin, Lianqing Liu, Li Jiang, Guoying Gu, Xinyu Wu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages517-525
Number of pages9
ISBN (Print)9783031138430
DOIs
StatePublished - 2022
Event15th International Conference on Intelligent Robotics and Applications, ICIRA 2022 - Harbin, China
Duration: 1 Aug 20223 Aug 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13455 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Intelligent Robotics and Applications, ICIRA 2022
Country/TerritoryChina
CityHarbin
Period1/08/223/08/22

Keywords

  • Dynamics-performance index
  • Kinematics-performance index
  • Multi-objective optimization

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