正交卡尔曼滤波在机械臂上的应用

M. Al-Shabi, Andrew Cataford, S. Gadsden
{"title":"正交卡尔曼滤波在机械臂上的应用","authors":"M. Al-Shabi, Andrew Cataford, S. Gadsden","doi":"10.1109/IRIS.2017.8250108","DOIUrl":null,"url":null,"abstract":"In this work, well known Quadrature Kalman Filters (QKFs), namely 2-point QKF (SeQKF), 3-point QKF (ThQKF), and 4-point QKF (FoQKF), were used to monitor a 4- degree of freedom prismatic-revolute-revolute-revolute (PRRR) manipulator. This manipulator represents a well-known industrial arm robot. These methods are applied on a PRRR robot, and are compared in terms of stability, robustness, computation time, complexity, and the quality of the optimality. For completeness, the results were compared to those obtained from the popular Unscented Kalman Filter (UKF) and a special form of the UKF known as the Cubature Kalman Filter (CKF).","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Quadrature Kalman filters with applications to robotic manipulators\",\"authors\":\"M. Al-Shabi, Andrew Cataford, S. Gadsden\",\"doi\":\"10.1109/IRIS.2017.8250108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, well known Quadrature Kalman Filters (QKFs), namely 2-point QKF (SeQKF), 3-point QKF (ThQKF), and 4-point QKF (FoQKF), were used to monitor a 4- degree of freedom prismatic-revolute-revolute-revolute (PRRR) manipulator. This manipulator represents a well-known industrial arm robot. These methods are applied on a PRRR robot, and are compared in terms of stability, robustness, computation time, complexity, and the quality of the optimality. For completeness, the results were compared to those obtained from the popular Unscented Kalman Filter (UKF) and a special form of the UKF known as the Cubature Kalman Filter (CKF).\",\"PeriodicalId\":213724,\"journal\":{\"name\":\"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)\",\"volume\":\"135 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRIS.2017.8250108\",\"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 International Symposium on Robotics and Intelligent Sensors (IRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRIS.2017.8250108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19

摘要

在这项工作中,众所周知的正交卡尔曼滤波器(QKF),即2点QKF (SeQKF), 3点QKF (ThQKF)和4点QKF (FoQKF),用于监测4自由度的棱镜-旋转-旋转-旋转(PRRR)机械手。该机械手代表了一种著名的工业臂机器人。将这些方法应用于PRRR机器人,并在稳定性、鲁棒性、计算时间、复杂性和最优性质量方面进行了比较。为了完整起见,将结果与流行的Unscented卡尔曼滤波器(UKF)和UKF的一种特殊形式称为Cubature Kalman滤波器(CKF)的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quadrature Kalman filters with applications to robotic manipulators
In this work, well known Quadrature Kalman Filters (QKFs), namely 2-point QKF (SeQKF), 3-point QKF (ThQKF), and 4-point QKF (FoQKF), were used to monitor a 4- degree of freedom prismatic-revolute-revolute-revolute (PRRR) manipulator. This manipulator represents a well-known industrial arm robot. These methods are applied on a PRRR robot, and are compared in terms of stability, robustness, computation time, complexity, and the quality of the optimality. For completeness, the results were compared to those obtained from the popular Unscented Kalman Filter (UKF) and a special form of the UKF known as the Cubature Kalman Filter (CKF).
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