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Improving the Dynamic Range and Resolution of Mems Resonant Sensors Utilizing Nonlinear Cancellation

  • Chengxin Li
  • , Aojie Quan
  • , Hemin Zhang
  • , Chen Wang
  • , Mustafa Mert Torunbalci
  • , Linlin Wang
  • , Chenxi Wang
  • , Yangyang Guan
  • , Yuan Wang
  • , Michael Kraft
  • KU Leuven
  • Broadcom Corporation
  • University of Macau

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, improvements on the dynamic range and resolution of MEMS (Micro-electromechanical systems) resonant sensors are demonstrated using a nonlinear cancellation method. The fabricated MEMS resonator shows obvious mechanical nonlinear behavior due to spring hardening. A DC tuning voltage forces the device to enter an intermediate regime between the mechanical and electrostatic nonlinear regimes, resulting in a higher linear vibration amplitude compared to the maximum linear amplitude (MLA), i.e., critical amplitude. The experimental results show that the input referred resolution can be improved by a factor of 7 and the dynamic range is enhanced by 6 dB, respectively, when nonlinear cancellation is applied.

Original languageEnglish
Title of host publication2023 22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages469-472
Number of pages4
ISBN (Electronic)9784886864352
StatePublished - 2023
Event22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023 - Kyoto, Japan
Duration: 25 Jun 2023 → 29 Jun 2023

Publication series

Name2023 22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023

Conference

Conference22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023
Country/TerritoryJapan
CityKyoto
Period25/06/23 → 29/06/23

Keywords

  • Dynamic range
  • Intermediate regime
  • Nonlinear behavior
  • Nonlinear cancellation
  • Resonant sensor

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