Non-holonomic Trajectory Planning Method for Free-Floating Space Robot via A Control Parameterization Approach

Gaoqi Liu, Yu Wang, Bin Li
{"title":"Non-holonomic Trajectory Planning Method for Free-Floating Space Robot via A Control Parameterization Approach","authors":"Gaoqi Liu, Yu Wang, Bin Li","doi":"10.1109/ROBIO58561.2023.10354706","DOIUrl":null,"url":null,"abstract":"This paper addresses the time-optimal trajectory planning problem of the free-floating space robot. Due to the path dependent dynamic singularities, the direct kinematics equations are employed. The joint range, velocity and acceleration limits are considered. After transforming the trajectory planning problem into an unconstrained nonlinear programming problem, particle swarm optimization algorithm is used to find the optimal trajectory. In addition to the requirement for the terminal pose of the end-effector, the spacecraft attitude can also be constrained in different forms through non-holonomic constraints. Simulation results are presented for trajectory planning of a 6 degree-of-freedom (DOF) space robot and demonstrate the effectiveness of the proposed method.","PeriodicalId":505134,"journal":{"name":"2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"72 2","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO58561.2023.10354706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper addresses the time-optimal trajectory planning problem of the free-floating space robot. Due to the path dependent dynamic singularities, the direct kinematics equations are employed. The joint range, velocity and acceleration limits are considered. After transforming the trajectory planning problem into an unconstrained nonlinear programming problem, particle swarm optimization algorithm is used to find the optimal trajectory. In addition to the requirement for the terminal pose of the end-effector, the spacecraft attitude can also be constrained in different forms through non-holonomic constraints. Simulation results are presented for trajectory planning of a 6 degree-of-freedom (DOF) space robot and demonstrate the effectiveness of the proposed method.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过控制参数化方法实现自由浮动空间机器人的非自主轨迹规划方法
本文探讨了自由漂浮太空机器人的时间最优轨迹规划问题。由于与路径相关的动态奇异性,本文采用了直接运动学方程。考虑了关节范围、速度和加速度限制。在将轨迹规划问题转化为无约束非线性编程问题后,采用粒子群优化算法寻找最优轨迹。除了对末端执行器终端姿态的要求外,还可以通过非人体工学约束对航天器姿态进行不同形式的限制。本文给出了一个 6 自由度(DOF)空间机器人的轨迹规划仿真结果,证明了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Barometric Soft Tactile Sensor for Depth Independent Contact Localization Stability Margin Based Gait Design on Slopes for a Novel Reconfigurable Quadruped Robot with a Foldable Trunk Blind Walking Balance Control and Disturbance Rejection of the Bipedal Humanoid Robot Xiao-Man via Reinforcement Learning A Closed-Loop Multi-perspective Visual Servoing Approach with Reinforcement Learning Modeling and Analysis of Pipe External Surface Grinding Force using Cup-shaped Wire Brush
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1