2020
DOI: 10.3390/mi11111022
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A Resonant Pressure Microsensor with Temperature Compensation Method Based on Differential Outputs and a Temperature Sensor

Abstract: This paper presents the analysis and characterization of a resonant pressure microsensor, which employs a temperature compensation method based on differential outputs and a temperature sensor. Leveraging a silicon-on-insulator (SOI) wafer, this microsensor mainly consists of a pressure-sensitive diagram and two resonant beams (electromagnetic driving and electromagnetic induction) to produce a differential output. The resonators were vacuum packaged with a silicon-on-glass (SOG) cap using anodic bonding and t… Show more

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Cited by 8 publications
(7 citation statements)
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References 24 publications
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“…These two output frequencies of the microsensor are functions of pressure and temperature. After calibration, employing a polynomial fitting method based on differential outputs and a temperature sensor, the microsensor’s temperature compensation can be achieved in a wide pressure measurement range [ 34 ].…”
Section: Theoretical Analysismentioning
confidence: 99%
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“…These two output frequencies of the microsensor are functions of pressure and temperature. After calibration, employing a polynomial fitting method based on differential outputs and a temperature sensor, the microsensor’s temperature compensation can be achieved in a wide pressure measurement range [ 34 ].…”
Section: Theoretical Analysismentioning
confidence: 99%
“…These two output frequencies of the microsensor are functions of pressure and temperature. After calibration, employing a polynomial fitting method based on differential outputs and a temperature sensor, the microsensor's temperature compensation can be achieved in a wide pressure measurement range [34]. Pressure under measurement causes the deformation of the pressure-sensitive diaphragm, changing the axial stress of the resonators (see Figure 2a).…”
Section: Working Principlementioning
confidence: 99%
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“…The active compensation method is described from the perspective of signal processing and involves the following points: Fabricating temperature-sensitive circuitry to generate temperature-dependent electrical signals, which are used by high-precision logic devices or ASIC to compensate for the output signals from the resonator, thus reducing the temperature drift of the sensor [ 10 , 11 ]; Establishing the mapping relationship between the physical parameters, i.e., pressure and sensor signals, as well as the temperature information, which is known as multiple regression analysis in statistics [ 12 , 13 ]. …”
Section: Introductionmentioning
confidence: 99%
“…Establishing the mapping relationship between the physical parameters, i.e., pressure and sensor signals, as well as the temperature information, which is known as multiple regression analysis in statistics [ 12 , 13 ].…”
Section: Introductionmentioning
confidence: 99%