• DocumentCode
    232426
  • Title

    Modeling and simulation of a capacitive micro-accelerometer system

  • Author

    Wen Guo

  • Author_Institution
    Xi´an Aeronaut. Univ., Xi´an, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    6163
  • Lastpage
    6167
  • Abstract
    Capacitive Micro-Accelerometer digital feedback system was developed using the theory of second-order Σ-Δ modulator. The second-order mechanical gauge outfit behaves as two integrators in second-order Σ-Δ modulator and the number of bits of the quantizer is 1 bit. Continuous-time model of the gauge outfit was transformed to discrete-time model based on the IIR theory and the quantizer linear model was established using the LMS arithmetic. Therefore the quasi-linear discrete model was derived. The simulation results shown that the micro-accelerometer system was a low pass system and it had linear phase characteristic approximately in the low frequency band. The simulation results also displayed that the second order noise shaping was performed in the system which made the noise transfer to higher frequency band. Finally the accelerometer system was simulated with the sine signal input, and the results validated that the output and the input are consistent.
  • Keywords
    IIR filters; accelerometers; capacitive sensors; feedback; gauges; least mean squares methods; low-pass filters; microsensors; quantisation (signal); sigma-delta modulation; IIR theory; LMS arithmetic; capacitive microaccelerometer digital feedback system; continuous-time model; discrete-time model; integrators; linear phase characteristic; low pass system; quantizer linear model; quasilinear discrete model; second order noise shaping; second-order Σ-Δ modulator; second-order mechanical gauge outfit; Accelerometers; Equations; Mathematical model; Modulation; Noise; Quantization (signal); Transfer functions; Σ-Δ Modulation; Digital Feedback; Micro-Accelerometer; Noise Shaping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6895999
  • Filename
    6895999