用$\pi$-模型表示的电容式传感器的开关电容CVC和CFC

Pinku Sebastian, P. NarayananP., Sreenath Vijayakumar
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引用次数: 0

摘要

本文提出了一种新的电容-电压变换器(CVC)和电容-频率变换器(CFC)。在$\pi$-模型中,提出了一种简单有效的闭环机制,提供与传感器电容成比例的输出电压和频率。所提出的反馈机制保证了变换器的线性性能不受正向路径中元件非线性的影响。$\pi$-型电容器由三个电容组成,$C_{x2}$:电极与$C_{x1}$之间形成的电容,$C_{x3}$:每个电极与地之间的电容。除了电容$C_{x2}$之外,这种$pi$模型表示在感应被测体的相对位置(通过测量$C_{x1}$和$C_{x3}$)方面非常有效。所提出的基于开关电容的变换器仅使用直流励磁源,因此可以实现高精度的测量。在20pf ~ 200pf的传感器电容范围内,该变换器的原型已被开发并验证了其实用性。在开环配置下,该变换器的最坏线性误差为3.5%,在反馈配置下,该误差降至0.28%。所开发的原型在$\pi$-模型中电容测量之间的交叉灵敏度可以忽略不计,并且与现有的电容$\pi$-模型结构相比,可以提供最佳的测量速率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Switched-Capacitor CVC and CFC for Capacitive Sensors Representable using $\pi$-Model
In this paper, a new Capacitance-to-Voltage Converter (CVC) and Capacitance-to-Frequency Converter (CFC) for capacitive $\pi$-model are presented. A simple and effective closed-loop mechanism is proposed that provides the output voltage and frequency proportional to the sensor capacitances in the $\pi$-model. The proposed feedback mechanism ensures that the linearity performance of the converter is not affected by the non-linearity of the elements in the forward path. A $\pi$-model capacitor comprises of three capacitances, $C_{x2}$: the capacitance formed between the electrodes and $C_{x1}$ and $C_{x3}$: capacitance between each electrode and ground. Such $pi$-model representation is very effective in sensing the relative position of the measurand (by measuring $C_{x1}$ and $C_{x3}$) in addition to the measurand detection (from capacitance $C_{x2}$). The proposed switched-capacitor based converter uses only DC source for excitation and hence achieve high accuracy measurements. A prototype has been developed and verified the practicality of the converter for sensor capacitance ranges from 20 pF to 200 pF. The worst-case linearity error of 3.5% was observed when operated in open-loop configuration, and the error reduced to 0.28% when operated in the proposed feedback configuration. The developed prototype exhibited negligible cross-sensitivity between the capacitance measurement in the $\pi$-model and can provide the best measurement rate compared to the existing architectures of capacitive $\pi$-models.
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