基于显式粘滑时间约束的库仑摩擦非线性单自由度振子控制方程辨识

S. Mahajan, A. Cicirello
{"title":"基于显式粘滑时间约束的库仑摩擦非线性单自由度振子控制方程辨识","authors":"S. Mahajan, A. Cicirello","doi":"10.1115/1.4063070","DOIUrl":null,"url":null,"abstract":"\n The friction force at joints of engineering structures is usually unknown and not directly identifiable. This contribution explores a procedure for obtaining the governing equation of motion and correctly identifying the unknown Coulomb friction force of a mass-spring-dashpot system. In particular, a Single-Degree-of-Freedom system is investigated both numerically and experimentally. The proposed procedure extends the state-of-the-art data-driven SINDy algorithm by developing a methodology that explicitly imposes constraints encoding knowledge of the non-smooth dynamics experienced during stick-slip phenomena. The proposed algorithm consists of three steps: (i) data segregation of mass-motion from mass-sticking during stick-slip response; (ii) application of SINDy on the mass-motion dataset to obtain the functional form of the governing equation; and (iii) applying sticking and slipping conditions to identify the unknown system parameters. It is shown that the proposed approach yields an improved estimate of the uncertain system parameters such as stiffness, damping, and magnitude of friction force (all mass normalized) for various signal-to-noise ratios compared to SINDy.","PeriodicalId":44694,"journal":{"name":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B-Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Governing Equation Identification Of Nonlinear Single Degree-Of-Freedom Oscillators With Coulomb Friction Using Explicit Stick And Slip Temporal Constraints\",\"authors\":\"S. Mahajan, A. Cicirello\",\"doi\":\"10.1115/1.4063070\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n The friction force at joints of engineering structures is usually unknown and not directly identifiable. This contribution explores a procedure for obtaining the governing equation of motion and correctly identifying the unknown Coulomb friction force of a mass-spring-dashpot system. In particular, a Single-Degree-of-Freedom system is investigated both numerically and experimentally. The proposed procedure extends the state-of-the-art data-driven SINDy algorithm by developing a methodology that explicitly imposes constraints encoding knowledge of the non-smooth dynamics experienced during stick-slip phenomena. The proposed algorithm consists of three steps: (i) data segregation of mass-motion from mass-sticking during stick-slip response; (ii) application of SINDy on the mass-motion dataset to obtain the functional form of the governing equation; and (iii) applying sticking and slipping conditions to identify the unknown system parameters. It is shown that the proposed approach yields an improved estimate of the uncertain system parameters such as stiffness, damping, and magnitude of friction force (all mass normalized) for various signal-to-noise ratios compared to SINDy.\",\"PeriodicalId\":44694,\"journal\":{\"name\":\"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B-Mechanical Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B-Mechanical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1115/1.4063070\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B-Mechanical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/1.4063070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

工程结构节点处的摩擦力通常是未知的,也不能直接识别。本文探讨了一种获得质量-弹簧-阻尼器系统的运动控制方程和正确识别未知库仑摩擦力的方法。特别对单自由度系统进行了数值和实验研究。提出的程序扩展了最先进的数据驱动SINDy算法,开发了一种明确施加约束的方法,编码了在粘滑现象期间经历的非光滑动力学知识。本文提出的算法包括三个步骤:(1)粘滑响应过程中质量运动和质量粘滞的数据分离;(ii)在质量运动数据集上应用SINDy,得到控制方程的函数形式;(3)应用粘滞滑移条件辨识未知系统参数。结果表明,与SINDy相比,所提出的方法对各种信噪比的不确定系统参数(如刚度、阻尼和摩擦力大小(所有质量归一化))的估计得到了改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Governing Equation Identification Of Nonlinear Single Degree-Of-Freedom Oscillators With Coulomb Friction Using Explicit Stick And Slip Temporal Constraints
The friction force at joints of engineering structures is usually unknown and not directly identifiable. This contribution explores a procedure for obtaining the governing equation of motion and correctly identifying the unknown Coulomb friction force of a mass-spring-dashpot system. In particular, a Single-Degree-of-Freedom system is investigated both numerically and experimentally. The proposed procedure extends the state-of-the-art data-driven SINDy algorithm by developing a methodology that explicitly imposes constraints encoding knowledge of the non-smooth dynamics experienced during stick-slip phenomena. The proposed algorithm consists of three steps: (i) data segregation of mass-motion from mass-sticking during stick-slip response; (ii) application of SINDy on the mass-motion dataset to obtain the functional form of the governing equation; and (iii) applying sticking and slipping conditions to identify the unknown system parameters. It is shown that the proposed approach yields an improved estimate of the uncertain system parameters such as stiffness, damping, and magnitude of friction force (all mass normalized) for various signal-to-noise ratios compared to SINDy.
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
CiteScore
5.20
自引率
13.60%
发文量
34
期刊最新文献
Verification and Validation of Rotating Machinery Using Digital Twin Risk Approach Based On the Fram Model for Vessel Traffic Management A Fault Detection Framework Based On Data-driven Digital Shadows Domain Adaptation Of Population-Based Of Bolted Joint Structures For Loss Detection Of Tightening Torque Human-Comfort Evaluation for A Patient-Transfer Robot through A Human-Robot Mechanical Model
×
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