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Characterization of Sensitivity of Time Domain MEMS Accelerometer.
Li, Enfu; Jian, Jiaying; Yang, Fan; Ma, Zhiyong; Hao, Yongcun; Chang, Honglong.
Afiliação
  • Li E; School of Engineering, Huzhou University, Huzhou 313000, China.
  • Jian J; School of Electronic Information and Engineering, Xi'an Technological University, Xi'an 710021, China.
  • Yang F; School of Engineering, Huzhou University, Huzhou 313000, China.
  • Ma Z; School of Engineering, Huzhou University, Huzhou 313000, China.
  • Hao Y; Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, Northwestern Polytechnical University, Xi'an 710072, China.
  • Chang H; Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, Northwestern Polytechnical University, Xi'an 710072, China.
Micromachines (Basel) ; 15(2)2024 Jan 31.
Article em En | MEDLINE | ID: mdl-38398955
ABSTRACT
This paper characterizes the sensitivity of a time domain MEMS accelerometer. The sensitivity is defined by the increment in the measured time interval per gravitational acceleration. Two sensitivities exist, and they can be enhanced by decreasing the amplitude and frequency. The sensitivity with minor nonlinearity is chosen to evaluate the time domain sensor. The experimental results of the developed accelerometer demonstrate that the sensitivities span from -68.91 µs/g to -124.96 µs/g and the 1σ noises span from 8.59 mg to 6.2 mg (amplitude of 626 nm -68.91 µs/g and 10.21 mg; amplitude of 455 nm -94.51 µs/g and 7.76 mg; amplitude of 342 nm -124.96 µs/g and 6.23 mg), which indicates the bigger the amplitude, the smaller the sensitivity and the bigger the 1σ noise. The adjustable sensitivity provides a theoretical foundation for range self-adaption, and all the results can be extended to other time domain inertial sensors, e.g., a gyroscope or an inclinometer.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article