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一种基于电容式传感器检测精密球形关节旋转角度的新方法。

A Novel Approach for Detecting Rotational Angles of a Precision Spherical Joint Based on a Capacitive Sensor.

作者信息

Wang Wen, Yang He, Zhang Min, Chen Zhanfeng, Shi Guang, Lu Keqing, Xiang Kui, Ju Bingfeng

机构信息

School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.

School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.

出版信息

Micromachines (Basel). 2019 Apr 26;10(5):280. doi: 10.3390/mi10050280.

Abstract

Precision spherical joints are commonly employed as multiple degree-of-freedom (DOF) mechanical hinges in many engineering applications, e.g., robots and parallel manipulators. Real-time and precise measurement of the rotational angles of spherical joints is not only beneficial to the real-time and closed-loop control of mechanical transmission systems, but also is of great significance in the prediction and compensation of their motion errors. This work presents a novel approach for rotational angle measurement of spherical joints with a capacitive sensor. First, the 3-DOF angular motions of a spherical joint were analyzed. Then, the structure of the proposed capacitive sensor was presented, and the mathematical model for the rotational angles of a spherical joint and the capacitance of the capacitors was deduced. Finally, the capacitance values of the capacitors at different rotations were simulated using Ansoft Maxwell software. The simulation results show that the variation in the simulated capacitance values of the capacitors is similar to that of the theoretical values, suggesting the feasibility and effectiveness of the proposed capacitive detection method for rotational angles of spherical joints.

摘要

精密球形关节在许多工程应用中,如机器人和平行机器人中,通常用作多自由度(DOF)机械铰链。实时精确测量球形关节的旋转角度不仅有利于机械传动系统的实时和闭环控制,而且对其运动误差的预测和补偿也具有重要意义。本文提出了一种利用电容式传感器测量球形关节旋转角度的新方法。首先,分析了球形关节的三自由度角运动。然后,介绍了所提出的电容式传感器的结构,并推导了球形关节旋转角度与电容器电容的数学模型。最后,利用Ansoft Maxwell软件模拟了不同旋转角度下电容器的电容值。仿真结果表明,电容器模拟电容值的变化与理论值相似,表明所提出的球形关节旋转角度电容检测方法的可行性和有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2dec/6562401/421cf08ad013/micromachines-10-00280-g001.jpg

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