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ECOLE SUPÉRIEURE D'ÉLECTRICITÉ Une grande école d'ingénieurs au cœur des sciences de l'information,de l'énergie et des systèmes |
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Conference papers
FPGA implementation of a low-cost method for tracking the resonance frequency and the quality factro of MEMS sensors
Abstract : This paper reports the hardware implementation of a low-cost parameter estimation method (LIMBO) and describes its use for tracking the parameters of a resonant MEMS sensor. We show how this method can be used to identify the impulse response (IR) of a sensor with minimal A/D-D/A requirements. Based on this IR, we develop digital estimators capable of extracting the resonance frequency and the quality factor. The full electronic architecture is simulated on a mixed-signal environment and implemented on FPGA-based digital hardware. For a specifically emulated sensor, results show that the resonance frequency can be identified and tracked from 3kHz up to 12kHz with a Normalized Square Error (NSE) of 1.38E-1. The quality factor is linearized with a correlation coefficient of 0.986 between Q=1 to Q=60. Those results can be easily scaled to any frequency range by adapting the sampling frequency.
Cited literature [5 references]
https://hal-supelec.archives-ouvertes.fr/hal-00778760
Contributor : Alexandra Siebert <>
Submitted on : Monday, January 21, 2013 - 2:15:47 PM
Last modification on : Monday, December 14, 2020 - 12:38:06 PM
Long-term archiving on: : Monday, April 22, 2013 - 3:53:26 AM
Contributor : Alexandra Siebert <>
Submitted on : Monday, January 21, 2013 - 2:15:47 PM
Last modification on : Monday, December 14, 2020 - 12:38:06 PM
Long-term archiving on: : Monday, April 22, 2013 - 3:53:26 AM
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Sensors_2012_v1_JUILLARD.pdf
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