Lee Seung Yeon, Sim Jae Yoon, Kim Yong Bum, Seok Dongyeop, Shim Jaeyoon, Choi Hyouk Ryeol
Department of Mechanical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Aidin Robotics Inc., Anyang 14055, Republic of Korea.
Sensors (Basel). 2025 Feb 4;25(3):940. doi: 10.3390/s25030940.
A capacitive six-axis force/torque (F/T) sensor has favorable characteristics for miniature design. However, when designing small-sized force/torque sensors, anisotropy among the six axes can lead to uneven sensitivity across each axis. This is due to increased crosstalk errors, which degrade sensor performance. To design a miniature six-axis force/torque sensor, it is essential to analyze the isotropic relationships between the six-axis forces/torques and the capacitance change to reduce crosstalk errors. This paper presents a miniature capacitive six-axis F/T sensor optimized for isotropy. It also establishes a systematic method for designing sensing electrodes. The sensor's deformable structure is analyzed using Castigliano's beam theory, and design parameters are optimized with isotropy analysis of the deformable part. The criteria are also presented, including selecting the electrode area and initial gap using linear equations derived from capacitance change analysis. The optimized miniature F/T sensor is calibrated using a neural network-based calibration method, and its accuracy errors are compared to a reference sensor. The design framework provides a foundation for future developments in miniature sensors.
电容式六轴力/扭矩(F/T)传感器在微型设计方面具有良好的特性。然而,在设计小型力/扭矩传感器时,六轴之间的各向异性会导致各轴灵敏度不均匀。这是由于串扰误差增加,从而降低了传感器性能。为了设计微型六轴力/扭矩传感器,分析六轴力/扭矩与电容变化之间的各向同性关系以减少串扰误差至关重要。本文提出了一种针对各向同性进行优化的微型电容式六轴F/T传感器。它还建立了一种设计传感电极的系统方法。使用卡斯蒂利亚诺梁理论分析传感器的可变形结构,并通过对可变形部分的各向同性分析优化设计参数。还提出了相关标准,包括使用从电容变化分析得出的线性方程选择电极面积和初始间隙。使用基于神经网络的校准方法对优化后的微型F/T传感器进行校准,并将其精度误差与参考传感器进行比较。该设计框架为微型传感器的未来发展奠定了基础。