Research on QPSO algorithm for trajectory planning of FFSR general kinematics modeling

Aiming at the optimal trajectory planning problem faced by free floating space robot (FFSR) in capturing non cooperative target (NCT) with unknown dynamic parameters, firstly, based on the unique intrinsic characteristics of FFSR in microgravity environment, a general FFSR kinematic model based on g...

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Main Author: Li Huazhong
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:ITM Web of Conferences
Subjects:
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_02011.pdf
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author Li Huazhong
author_facet Li Huazhong
author_sort Li Huazhong
collection DOAJ
description Aiming at the optimal trajectory planning problem faced by free floating space robot (FFSR) in capturing non cooperative target (NCT) with unknown dynamic parameters, firstly, based on the unique intrinsic characteristics of FFSR in microgravity environment, a general FFSR kinematic model based on generalized velocity variables and an NCT dynamic model based on quaternion method are established. Secondly, the optimal criterion of FFSR trajectory planning and the parametric modeling method of FFSR manipulator joint trajectory based on sinusoidal function are studied; Finally, a QPSO algorithm for FFSR trajectory planning based on the optimal comprehensive index is proposed
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spelling doaj.art-34eb0d461c834bfebf7982b23ba088fa2022-12-22T00:34:37ZengEDP SciencesITM Web of Conferences2271-20972022-01-01470201110.1051/itmconf/20224702011itmconf_cccar2022_02011Research on QPSO algorithm for trajectory planning of FFSR general kinematics modelingLi Huazhong0Shenzhen Institute of Information TechnologyAiming at the optimal trajectory planning problem faced by free floating space robot (FFSR) in capturing non cooperative target (NCT) with unknown dynamic parameters, firstly, based on the unique intrinsic characteristics of FFSR in microgravity environment, a general FFSR kinematic model based on generalized velocity variables and an NCT dynamic model based on quaternion method are established. Secondly, the optimal criterion of FFSR trajectory planning and the parametric modeling method of FFSR manipulator joint trajectory based on sinusoidal function are studied; Finally, a QPSO algorithm for FFSR trajectory planning based on the optimal comprehensive index is proposedhttps://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_02011.pdfffsrnctkinematictrajectory planningqpso
spellingShingle Li Huazhong
Research on QPSO algorithm for trajectory planning of FFSR general kinematics modeling
ITM Web of Conferences
ffsr
nct
kinematic
trajectory planning
qpso
title Research on QPSO algorithm for trajectory planning of FFSR general kinematics modeling
title_full Research on QPSO algorithm for trajectory planning of FFSR general kinematics modeling
title_fullStr Research on QPSO algorithm for trajectory planning of FFSR general kinematics modeling
title_full_unstemmed Research on QPSO algorithm for trajectory planning of FFSR general kinematics modeling
title_short Research on QPSO algorithm for trajectory planning of FFSR general kinematics modeling
title_sort research on qpso algorithm for trajectory planning of ffsr general kinematics modeling
topic ffsr
nct
kinematic
trajectory planning
qpso
url https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_02011.pdf
work_keys_str_mv AT lihuazhong researchonqpsoalgorithmfortrajectoryplanningofffsrgeneralkinematicsmodeling