Skip to main navigation Skip to search Skip to main content

Design of obstacle avoidance in high tracking accuracy for spatial manipulator

  • Ting Ting Sui
  • , Xiao Ma
  • , Jian Guo
  • , Jun Guo
  • Beihang University
  • Baicheng Ordnance Test Center of China

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

Abstract

Aiming at the shortage of traditional obstacle avoidance algorithm, an obstacle avoidance algorithm based on spatial operator algebra which applicable to multiple obstacles is put forward in this paper; the complexity of Jacobian is greatly simplified by the algorithm based on Spatial operator algebra (SOA), and the minimum distance between each obstacle and manipulator is calculated by the algorithm, and transformed to the escape speed of each bar by the Jacobian transpose matrix. With the gradient projection method, the escape speed of each bar is used to obtain the joint velocity related. At the same time, with the position tracking control of the end, the obstacle avoidance control could be obtained, which can ensure that the efficiency of calculation is O(N) and accuracy of position the end reach is high, based on efficient modeling method in kinematics and dynamics. A manipulator with 7-DOF is used in the simulation whose results verify the correctness and effectiveness of the algorithm.

Original languageEnglish
Title of host publicationASTRODYNAMICS 2017
EditorsJohn H. Seago, Nathan J. Strange, Daniel J. Scheeres, Jeffrey S. Parker
PublisherUnivelt Inc.
Pages777-786
Number of pages10
ISBN (Print)9780877036456
StatePublished - 2018
EventAAS/AIAA Astrodynamics Specialist Conference, 2017 - Stevenson, United States
Duration: 20 Aug 201724 Aug 2017

Publication series

NameAdvances in the Astronautical Sciences
Volume162
ISSN (Print)0065-3438

Conference

ConferenceAAS/AIAA Astrodynamics Specialist Conference, 2017
Country/TerritoryUnited States
CityStevenson
Period20/08/1724/08/17

Fingerprint

Dive into the research topics of 'Design of obstacle avoidance in high tracking accuracy for spatial manipulator'. Together they form a unique fingerprint.

Cite this