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Logarithmic Strain Model for Nonlinear Load Cell

机译:非线性称重传感器的对数应变模型

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摘要

General load cells have typically constant sensitivity throughout the measurement range, which is acceptable for common force measurement systems. However, it is not adequate for high-performance control and high-stroke applications such as robotic systems. It is required to have a higher sensitivity in a small force range than that in a large force range. In contrast, for large loading force, it is more important to increase the measurement range than the sensitivity. To cope with these characteristics, the strain curve versus the force measurement should be derived as a logarithmic graph. To implement this nonlinear nature, the proposed load cell is composed of two mechanical components: an activator, which has a curved surface profile to translocate the contact point, and a linear torque measurement unit with a moment lever to measure the loading force. To approximate the logarithmic deformation, the curvature of the activator was designed by an exponential function. Subsequent design parameters were optimized by an evolutionary computation.
机译:一般的称重传感器在整个测量范围内通常具有恒定的灵敏度,这对于普通的力测量系统是可以接受的。但是,对于机器人系统等高性能控制和高行程应用来说,这是不够的。要求在小力范围内具有比大力范围内更高的灵敏度。相反,对于较大的加载力,增加测量范围比灵敏度更重要。为了应对这些特性,应将应变曲线与力的测量值导出为对数图。为了实现这种非线性特性,建议的称重传感器由两个机械组件组成:一个具有弯曲表面轮廓以使接触点移位的激励器,以及一个带有力矩杆的线性扭矩测量单元以测量加载力。为了近似对数变形,通过指数函数设计了活化剂的曲率。随后的设计参数通过进化计算进行了优化。

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