Pinku Sebastian, P. NarayananP., Sreenath Vijayakumar
{"title":"A Switched-Capacitor CVC and CFC for Capacitive Sensors Representable using $\\pi$-Model","authors":"Pinku Sebastian, P. NarayananP., Sreenath Vijayakumar","doi":"10.1109/I2MTC50364.2021.9459993","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"100 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC50364.2021.9459993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.