In this paper, we present a new concept to couple the mechanical vibration dynamic of electrostatic MEMS sensor with its internal electrical circuit resonance. The concept shows great potential to reduce the excitation voltage for electrostatic MEMS. The proposed actuation method aims to activate the mechanical and electrical resonance of the MEMS circuit, simultaneously; to amplify the voltage across the MEMS and increase the MEMS sensitivity to the input electrostatic forces. Moreover, we propose a method to achieve this amplification for any electrostatic MEMS device regardless of the values of its electrical and mechanical resonance frequencies. The proposed concept is studied theoretically and validated experimentally for a commercial MEMS sensor. A voltage amplification of more than 21 times and a MEMS amplitude amplification of over 6 times was observed.
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ASME 2017 Dynamic Systems and Control Conference
October 11–13, 2017
Tysons, Virginia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5828-8
PROCEEDINGS PAPER
A Novel Low Voltage Electrostatic MEMS Resonator Sensor Based on Double Resonance Dynamic Amplification
Fadi M. Alsaleem,
Fadi M. Alsaleem
University of Nebraska-Lincoln, Omaha, NE
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Mohammad H. Hasan
Mohammad H. Hasan
University of Nebraska-Lincoln, Omaha, NE
Search for other works by this author on:
Fadi M. Alsaleem
University of Nebraska-Lincoln, Omaha, NE
Mohammad H. Hasan
University of Nebraska-Lincoln, Omaha, NE
Paper No:
DSCC2017-5333, V002T18A004; 6 pages
Published Online:
November 14, 2017
Citation
Alsaleem, FM, & Hasan, MH. "A Novel Low Voltage Electrostatic MEMS Resonator Sensor Based on Double Resonance Dynamic Amplification." Proceedings of the ASME 2017 Dynamic Systems and Control Conference. Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications. Tysons, Virginia, USA. October 11–13, 2017. V002T18A004. ASME. https://doi.org/10.1115/DSCC2017-5333
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