具有力矩约束的直角空间直线机械手轨迹规划

C. G. Lee, B. Lee
{"title":"具有力矩约束的直角空间直线机械手轨迹规划","authors":"C. G. Lee, B. Lee","doi":"10.1109/CDC.1984.272352","DOIUrl":null,"url":null,"abstract":"Most of the existing off-line trajectory planning schemes focus on the requirements that the trajectory must be smooth and continuous. This paper, based on discrete time trajectory analysis, extends these concepts and includes the manipulator dynamics in the planning of straight line trajectory in the Cartesian space. The planning of straight line trajectory is performed in the Cartesian space and requires optimization in the jointvariable space. An iterative forward and backward search algorithm coupled with a modified forward search algorithm are developed to determine the joint values at each control set point on the given straight line within the bounds imposed by the smoothness and torque constraints. These sets of joint position, velocity and acceleration will be used as referenced inputs to the manipulator controller for the joint-variable space control [1] or can be used to determine the corresponding Cartesian position, velocity, and acceleration on the straight line for the Cartesian space control. The proposed straight line trajectory planning will be useful for obstacle avoidance and the resolved motion adaptive control [2].","PeriodicalId":269680,"journal":{"name":"The 23rd IEEE Conference on Decision and Control","volume":"244 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1984-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Planning of straight line manipulator trajectory in Cartesian space with torque constraints\",\"authors\":\"C. G. Lee, B. Lee\",\"doi\":\"10.1109/CDC.1984.272352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most of the existing off-line trajectory planning schemes focus on the requirements that the trajectory must be smooth and continuous. This paper, based on discrete time trajectory analysis, extends these concepts and includes the manipulator dynamics in the planning of straight line trajectory in the Cartesian space. The planning of straight line trajectory is performed in the Cartesian space and requires optimization in the jointvariable space. An iterative forward and backward search algorithm coupled with a modified forward search algorithm are developed to determine the joint values at each control set point on the given straight line within the bounds imposed by the smoothness and torque constraints. These sets of joint position, velocity and acceleration will be used as referenced inputs to the manipulator controller for the joint-variable space control [1] or can be used to determine the corresponding Cartesian position, velocity, and acceleration on the straight line for the Cartesian space control. The proposed straight line trajectory planning will be useful for obstacle avoidance and the resolved motion adaptive control [2].\",\"PeriodicalId\":269680,\"journal\":{\"name\":\"The 23rd IEEE Conference on Decision and Control\",\"volume\":\"244 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1984-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 23rd IEEE Conference on Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1984.272352\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 23rd IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1984.272352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

现有的脱机轨迹规划方案大多侧重于轨迹的平滑和连续要求。本文在离散时间轨迹分析的基础上,扩展了这些概念,将机械臂动力学纳入到笛卡尔空间的直线轨迹规划中。直线轨迹的规划是在笛卡尔空间中进行的,需要在关节变量空间中进行优化。提出了一种迭代前向和后向搜索算法,并结合一种改进的前向搜索算法来确定给定直线上每个控制设定点的关节值,该控制设定点在光滑性和扭矩约束的约束范围内。这些关节位置、速度和加速度集合将作为机械臂控制器的参考输入进行关节变量空间控制[1],或者可以用于确定直线上相应的笛卡尔位置、速度和加速度进行笛卡尔空间控制。提出的直线轨迹规划将有助于避障和分辨运动自适应控制[2]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Planning of straight line manipulator trajectory in Cartesian space with torque constraints
Most of the existing off-line trajectory planning schemes focus on the requirements that the trajectory must be smooth and continuous. This paper, based on discrete time trajectory analysis, extends these concepts and includes the manipulator dynamics in the planning of straight line trajectory in the Cartesian space. The planning of straight line trajectory is performed in the Cartesian space and requires optimization in the jointvariable space. An iterative forward and backward search algorithm coupled with a modified forward search algorithm are developed to determine the joint values at each control set point on the given straight line within the bounds imposed by the smoothness and torque constraints. These sets of joint position, velocity and acceleration will be used as referenced inputs to the manipulator controller for the joint-variable space control [1] or can be used to determine the corresponding Cartesian position, velocity, and acceleration on the straight line for the Cartesian space control. The proposed straight line trajectory planning will be useful for obstacle avoidance and the resolved motion adaptive control [2].
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信