机器人参数优化的新动静力准则

M. Svejda
{"title":"机器人参数优化的新动静力准则","authors":"M. Svejda","doi":"10.1109/ISCMI.2017.8279599","DOIUrl":null,"url":null,"abstract":"The paper deals with a practical approach of parametric optimization of robots. The main idea is to introduce a new criterion which makes possible to evaluate maximum demanded 2-norm of forces/torques of the robot actuators in the case that the end-effector of the robot is to move inside given workspace (specified by the desired positions) with required maximum acceleration in any direction. Therefore, dynamic behaviour of the robot can naturally be taken into account without the need to specify a particular motion trajectory (e.g. moving along the curve with demanded velocity/acceleration profile). Such a criterion is particularly useful in the cases where customer requirements on a new robotic architecture design are too vague and do not include a specific motion of the end-effector of the robot. The new proposed criterion is further used in a minimax discrete optimization problem. Computational effective culling algorithm is used for finding a global optimum. Finally, an illustrative example describes the optimization of the kinematic parameters of the planar parallel robot in order to minimize actuators torques.","PeriodicalId":119111,"journal":{"name":"2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"New kinetostatic criterion for robot parametric optimization\",\"authors\":\"M. Svejda\",\"doi\":\"10.1109/ISCMI.2017.8279599\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper deals with a practical approach of parametric optimization of robots. The main idea is to introduce a new criterion which makes possible to evaluate maximum demanded 2-norm of forces/torques of the robot actuators in the case that the end-effector of the robot is to move inside given workspace (specified by the desired positions) with required maximum acceleration in any direction. Therefore, dynamic behaviour of the robot can naturally be taken into account without the need to specify a particular motion trajectory (e.g. moving along the curve with demanded velocity/acceleration profile). Such a criterion is particularly useful in the cases where customer requirements on a new robotic architecture design are too vague and do not include a specific motion of the end-effector of the robot. The new proposed criterion is further used in a minimax discrete optimization problem. Computational effective culling algorithm is used for finding a global optimum. Finally, an illustrative example describes the optimization of the kinematic parameters of the planar parallel robot in order to minimize actuators torques.\",\"PeriodicalId\":119111,\"journal\":{\"name\":\"2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCMI.2017.8279599\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCMI.2017.8279599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文研究了一种实用的机器人参数优化方法。主要思想是引入一个新的准则,使得在机器人的末端执行器在给定的工作空间内(由所需的位置指定)以所需的最大加速度在任何方向上移动的情况下,可以评估机器人执行器的最大所需的2范数力/扭矩。因此,机器人的动态行为可以自然地被考虑,而不需要指定特定的运动轨迹(例如沿着要求的速度/加速度曲线移动)。在客户对新机器人架构设计的要求过于模糊且不包括机器人末端执行器的特定运动的情况下,这样的标准特别有用。将新准则进一步应用于极大极小离散优化问题。采用计算有效的剔除算法寻找全局最优解。最后,给出了平面并联机器人运动学参数优化的实例,以使作动器力矩最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New kinetostatic criterion for robot parametric optimization
The paper deals with a practical approach of parametric optimization of robots. The main idea is to introduce a new criterion which makes possible to evaluate maximum demanded 2-norm of forces/torques of the robot actuators in the case that the end-effector of the robot is to move inside given workspace (specified by the desired positions) with required maximum acceleration in any direction. Therefore, dynamic behaviour of the robot can naturally be taken into account without the need to specify a particular motion trajectory (e.g. moving along the curve with demanded velocity/acceleration profile). Such a criterion is particularly useful in the cases where customer requirements on a new robotic architecture design are too vague and do not include a specific motion of the end-effector of the robot. The new proposed criterion is further used in a minimax discrete optimization problem. Computational effective culling algorithm is used for finding a global optimum. Finally, an illustrative example describes the optimization of the kinematic parameters of the planar parallel robot in order to minimize actuators torques.
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:481959085
Book学术官方微信