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空气-磁流变液半主动型动力吸振器的研究
引用本文:李浩田,王海芳,李凌轩,陈晓哲.空气-磁流变液半主动型动力吸振器的研究[J].机床与液压,2022,50(18):1-5.
作者姓名:李浩田  王海芳  李凌轩  陈晓哲
作者单位:东北大学秦皇岛分校控制工程学院
基金项目:国家自然科学基金青年科学基金项目 (51905081)
摘    要:为实现高振幅削减百分比的带宽制振,提出一种具有可调刚度和可调阻尼的半主动型动力吸振器。刚度装置为空气弹簧,改变空气弹簧内两气室的初始高度和初始气压可以改变刚度;阻尼装置为磁流变液阻尼器,改变阻尼器内线圈电流大小可以改变阻尼力。计算空气弹簧的刚度、气室的初始高度、气室的初始气压之间的函数关系;计算磁流变液阻尼器的阻尼力和线圈电流之间的函数关系;仿真探究动力吸振器的制振效果。结果表明:该空气-磁流变液半主动型动力吸振器最多可以削减45%的主质量振幅,可以有效抑制主系统的共振。

关 键 词:带宽制振  动力吸振器  可变刚度  可变阻尼

Study of Air-MR Semi-active Dynamic Vibration Absorber
LI Haotian,WANG Haifang,LI Lingxuan,CHEN Xiaozhe.Study of Air-MR Semi-active Dynamic Vibration Absorber[J].Machine Tool & Hydraulics,2022,50(18):1-5.
Authors:LI Haotian  WANG Haifang  LI Lingxuan  CHEN Xiaozhe
Abstract:In order to improve the tracking performance and tracking speed of the Siamese tracking algorithm in complex situations such as fast motion and similar objects tracking,a Siamese target tracking algorithm combining residual connection and depth separable convolution was proposed.The 5×5 convolution in the original feature extraction network was replaced with a normal 3×3 convolution,by which the amount of network calculations could be reduced and its ability to learn features could be improved.A smaller computational depth separable convolution was used to replace all the ordinary 3×3 convolutions in the original network,not only the network inference speed could be accelerated,but also the depth of the feature extraction network could be deepened,so a more characterizing ability for the target deep semantic information was obtained.A residual connection was added to the deep separable convolution module to form a residual block,to fuse the features of different layers extracted by using the network and improve the utilization of feature information.The results show that the proposed algorithm has improved tracking accuracy and success rate,and is superior to other algorithms in real-time and reliability.
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