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Data Driven Vibration Control:A ReviewOACSTPCDEI

Data Driven Vibration Control:A Review

英文摘要

With the ongoing advancements in sensor networks and data acquisition technologies across various systems like manufacturing,aviation,and healthcare,the data driven vibra-tion control(DDVC)has attracted broad interests from both the industrial and academic communities.Input shaping(IS),as a simple and effective feedforward method,is greatly demanded in DDVC methods.It convolves the desired input command with impulse sequence without requiring parametric dynamics and the closed-loop system structure,thereby suppressing the residual vibration separately.Based on a thorough investigation into the state-of-the-art DDVC methods,this survey has made the follow-ing efforts:1)Introducing the IS theory and typical input shapers;2)Categorizing recent progress of DDVC methods;3)Summarizing commonly adopted metrics for DDVC;and 4)Dis-cussing the engineering applications and future trends of DDVC.By doing so,this study provides a systematic and comprehensive overview of existing DDVC methods from designing to optimiz-ing perspectives,aiming at promoting future research regarding this emerging and vital issue.

Weiyi Yang;Shuai Li;Xin Luo

Chongqing Institute of Green and Intelligent Technology,Chinese Academy of Sciences,Chongqing 400714||Chongqing School,University of Chinese Academy of Sciences,Chongqing 400714,ChinaFaculty of Information Technology and Electrical Engineering,University of Oulu,Oulu 90570||VTT-Technology Research Center of Finland,Oulu 90570,FinlandCollege of Computer and Information Science,Southwest University,Chongqing 400715,China

Data driven vibration control(DDVC)data sciencedesigning methodfeedforward controlindustrial robotinput shap-ingoptimizing methodresidual vibration

《自动化学报(英文版)》 2024 (009)

1898-1917 / 20

This work was supported by the National Natural Science Foundation of China(62272078).

10.1109/JAS.2024.124431

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