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人体手臂静止性震颤的负刚度吸振效果研究

Study on Negative-stiffness Absorbing Vibration Performance for Rest Tremor of Human Arm

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【作者】 刘海平刘庆生韩东航姜宇吴鹤鸣

【Author】 LIU Haiping;LIU Qingsheng;HAN Donghang;JIANG Yu;WU Heming;School of Mechanical Engineering,University of Science and Technology Beijing;Shunde Innovation School,University of Science and Technology Beijing;Peking University Third Hospital,Department of Orthopaedics;Engineering Research Center of Bone and Joint Precision Medicine;Beijing Key Laboratory of Spinal Disease Research;Nanjing First Hospital,Nanjing Medical University;

【通讯作者】 刘海平;

【机构】 北京科技大学机械工程学院北京科技大学顺德创新学院北京大学第三医院骨科骨与关节精准医学工程研究中心脊柱疾病研究北京市重点实验室南京医科大学附属南京医院(南京市第一医院)

【摘要】 提出采用负刚度吸振器控制人体手臂静止性震颤的方法,以便有效减小传递到前臂的动态响应.首先,建立含负刚度吸振器的人体手臂耦合动力学模型;然后,推导得到各关节位置的幅频响应表达式,并采用序列二次规划算法给出负刚度吸振器的最优设计参数.利用最优设计参数分别计算得到正弦激励和随机激励对应耦合系统的动态响应曲线.为了便于对比,给出未安装负刚度吸振器和安装传统线性吸振器时人体手臂各关节的动态响应.计算结果表明,负刚度吸振器对人体手臂静止性震颤引起各关节的动态响应抑制效果显著优于传统线性吸振器.

【Abstract】 In this paper, a dynamic vibration absorber with negative stiffness(DVA-NS) is proposed to control the rest tremor of human arm in order to effectively reduce the dynamic response transmitted to the forearm. Firstly, the coupling dynamic model of human arm with DVA-NS is established. Then, the amplitude-frequency response expressions of each joint positions are derived, and the optimal design parameters of the DVA-NS are determined by using the sequential quadratic programming algorithm. On this basis, the above optimal design parameters are used to calculate the dynamic response curves under sinusoidal and random excitations, respectively. For ease of comparison, the dynamic responses of the coupling dynamic systems without the DVA-NS and with traditional linear dynamic vibration absorber(LDVA) are also presented, respectively. The calculation results show that the suppression effect on dynamic responses of different joints induced by the rest tremor of human arm by using the DVA-NS is significantly better than that of traditional LDVA.

【基金】 北京大学第三医院创新转化基金及海淀转化专项(BYSYZHKC2022101);佛山市科技创新专项资金项目(BK22BE021)~~
  • 【文献出处】 湖南大学学报(自然科学版) ,Journal of Hunan University(Natural Sciences) , 编辑部邮箱 ,2024年02期
  • 【分类号】TH77
  • 【下载频次】10
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