{"title":"Design and experiment of a crawling-inchworm-type self-tuned dynamic vibration absorber based on silicone gel materials","authors":"Ji-Hou Yang, De-Hai Chen, Xiao-Dong Yang","doi":"10.1177/10775463241280425","DOIUrl":null,"url":null,"abstract":"Based on the different body configurations caused by varying head-to-tail distances exhibited by crawling inchworms during locomotion, this paper proposes a crawling-inchworm-type self-tuned dynamic vibration absorber (DVA) based on silicone gel materials for reducing low-frequency vibration. The proposed DVA was designed and developed by employing a magnetic hanging design with movable features, a span adjustment design with an embedded stepper motor, and a real-time control design using a microcontroller. First, a finite element simulation model was established to analyze the main structure of the self-tuned DVA using the finite element method. The frequency-shifting characteristics of the absorber were obtained by identifying the actuating modes that are sensitive to the hanging span. Second, based on the frequency-shifting characteristics of the self-tuned DVA, an absorber control system was designed by introducing a short-time Fourier transform and PID algorithm to achieve autonomous frequency adjustment of the DVA. Finally, the self-tuned absorption effects of the prototype self-tuned DVA were tested through a series of experiments, which confirmed its excellent self-tuned vibration absorption capability within the low-frequency range.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"7 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Vibration and Control","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/10775463241280425","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Based on the different body configurations caused by varying head-to-tail distances exhibited by crawling inchworms during locomotion, this paper proposes a crawling-inchworm-type self-tuned dynamic vibration absorber (DVA) based on silicone gel materials for reducing low-frequency vibration. The proposed DVA was designed and developed by employing a magnetic hanging design with movable features, a span adjustment design with an embedded stepper motor, and a real-time control design using a microcontroller. First, a finite element simulation model was established to analyze the main structure of the self-tuned DVA using the finite element method. The frequency-shifting characteristics of the absorber were obtained by identifying the actuating modes that are sensitive to the hanging span. Second, based on the frequency-shifting characteristics of the self-tuned DVA, an absorber control system was designed by introducing a short-time Fourier transform and PID algorithm to achieve autonomous frequency adjustment of the DVA. Finally, the self-tuned absorption effects of the prototype self-tuned DVA were tested through a series of experiments, which confirmed its excellent self-tuned vibration absorption capability within the low-frequency range.
根据爬行尺蠖在运动过程中因头尾距离不同而产生的不同身体构造,本文提出了一种基于硅凝胶材料的爬行尺蠖型自调谐动态减震器(DVA),用于降低低频振动。所提出的 DVA 是通过采用具有可移动特征的磁悬挂设计、嵌入式步进电机的跨度调节设计和使用微控制器的实时控制设计来设计和开发的。首先,建立了有限元仿真模型,利用有限元方法分析了自调谐 DVA 的主体结构。通过确定对悬挂跨度敏感的执行模式,获得了吸收器的移频特性。其次,根据自调谐 DVA 的移频特性,通过引入短时傅里叶变换和 PID 算法设计了吸收器控制系统,以实现 DVA 的自主频率调节。最后,通过一系列实验测试了自调谐 DVA 原型的自调谐吸振效果,证实其在低频范围内具有出色的自调谐吸振能力。
期刊介绍:
The Journal of Vibration and Control is a peer-reviewed journal of analytical, computational and experimental studies of vibration phenomena and their control. The scope encompasses all linear and nonlinear vibration phenomena and covers topics such as: vibration and control of structures and machinery, signal analysis, aeroelasticity, neural networks, structural control and acoustics, noise and noise control, waves in solids and fluids and shock waves.