利用敲击声处理和干扰观测器的反作用力进行目标识别

Watcharada Hamontree, C. Mitsantisuk, Jantanee Rungrangpitayagon
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引用次数: 2

摘要

物体分类有多种方法,如声音信号或物体压缩。然而,声音信号伴随着高噪声水平。因此,叩击物体的力响应成为一种更有趣的研究方法。本文提出了将力响应与敲击声相结合的方法来改进分析。采用基于双边控制系统的主从机器人对物体进行敲打。然后用扰动观测器来估计力响应,而不是用有局限性的力传感器来估计力响应。实验结果可以清楚地显示出每个物体的不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Object identification using knocking sound processing and reaction force from disturbance observer
Object classification has many method such as sound signal or object compression. However, sound signal comes with a high noise level. Therefore, force response of knocking object becomes a more interesting method. In this paper, the method which combination of force response and knocking sound is proposed to improve the analysis. The master-slave robot based on bilateral control system is used to knock the objects. Then the force response is estimated by disturbance observer instead of force sensor which has a limitation. The results of the experiment can show the different of each objects clearly.
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