气动肌肉的轴向和径向冲击检测与区分

doi:10.3969/j.issn.1000-1093.2016.10.017

兵工学报 ›› 2016, Vol. 37 ›› Issue (10): 1896-1901.doi: 10.3969/j.issn.1000-1093.2016.10.017

气动肌肉的轴向和径向冲击检测与区分

王斌锐，任杰，徐海东，鲍春雷

（中国计量大学机电工程学院，浙江杭州 310018）

收稿日期:2016-03-01 修回日期:2016-03-01 上线日期:2016-12-08
通讯作者: 王斌锐 E-mail:wangbinrui@163.com
作者简介:王斌锐(1978—)，男，教授，博士
基金资助:
国家“863”计划项目（2015AA042302）

Detection and Identification of Axial and Radial Impacts on Pneumatic Muscle

WANG Bin-rui, REN Jie, XU Hai-dong, BAO Chun-lei

(College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, Zhejiang, China)

Received:2016-03-01 Revised:2016-03-01 Online:2016-12-08
Contact: WANG Bin-rui E-mail:wangbinrui@163.com

摘要/Abstract

摘要： 冲击检测是仿生驱动器研究难点。基于管腔效应，对比分析气动肌肉轴向和径向冲击特性，采用流体阻抗法建立差压信号模型；搭建冲击测试平台，通过实验研究了负载、气压、冲击强度和径向冲击位置对差压信号的影响；对比了径向和轴向冲击时差压信号相频曲线的周期性变化特性；设计自相关函数提取差压信号的周期性特征。实验结果表明，差压信号自相关函数法可有效检测与区分轴向和径向冲击，40组验证实验数据的区分准确率为97.5%. 冲击检测是仿生驱动器研究难点。基于管腔效应，对比分析气动肌肉轴向和径向冲击特性，采用流体阻抗法建立差压信号模型；搭建冲击测试平台，通过实验研究了负载、气压、冲击强度和径向冲击位置对差压信号的影响；对比了径向和轴向冲击时差压信号相频曲线的周期性变化特性；设计自相关函数提取差压信号的周期性特征。实验结果表明，差压信号自相关函数法可有效检测与区分轴向和径向冲击，40组验证实验数据的区分准确率为97.5%.

关键词: 控制科学与技术, 气动肌肉, 冲击检测, 管腔效应, 流体阻抗法, 自相关函数

Abstract: Impact detection is a challenge in research of bionic driver. Axial and radial impact characteristics of pneumatic muscle are analyzed based on the tube cavity effect, and the differential pressure signal is modeled using the fluid impedance method. An impact test platform is established and used to gain the effects of load, pressure, impact intensity and radial impact position on the differential pressure signal. The periodic changes in the phase frequency curves of differential pressure signal under axial and radial impacts are compared. Autocorrelation function method is used to extract the periodic characteristics of the differential pressure signal. Forty groups of validation experiments are implemented. The experimental results show that the axial and radial impacts can be detected and identified by the autocorrelation function method of differential pressure signal. The identification accuracy is 97.5%.

Key words: control science and technology, pneumatic muscle, impact detection, tube cavity effect, fluid impedance method, autocorrelation function

中图分类号:

TP242.6⁺1

王斌锐，任杰，徐海东，鲍春雷. 气动肌肉的轴向和径向冲击检测与区分[J]. 兵工学报, 2016, 37(10): 1896-1901.

WANG Bin-rui, REN Jie, XU Hai-dong, BAO Chun-lei. Detection and Identification of Axial and Radial Impacts on Pneumatic Muscle[J]. Acta Armamentarii, 2016, 37(10): 1896-1901.

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气动肌肉的轴向和径向冲击检测与区分

Detection and Identification of Axial and Radial Impacts on Pneumatic Muscle

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