High-stability and temperature-compensated MEMS resonant beam accelerometer

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Abstract/Contents

Abstract
Silicon-based microelectromechanical systems (MEMS) resonant accelerometers have been regarded as a promising candidate in the field of high precision applications because of their low cost, small size, large dynamic range, and batch manufacturability. However, typical high performance accelerometers are subject to performance limitations due to temperature dependence, aging, and packaging environment degradations. For example, any drift in the system during inertial navigation in the absence of GPS leads to poor tracking accuracy and requires further compensation. This dissertation will present design, fabrication, and implementation of various compensation schemes for achieving highly stable silicon MEMS resonant accelerometers over a large temperature range. First, this work will discuss the hermetic wafer-level encapsulation process that allows fabrication of high performance resonators, and an additional method to achieve degenerate doping for passive temperature compensation. Then, the second part of this work will introduce an accelerometer design that maximizes sensitivity within fabrication constraints and produces a differential output that effectively cancels out common-mode errors such as temperature. Results show sensitivity in the excess of 400Hz/g, bias instability of < 0.5µg, and scale factor stability of < 0.5% over the temperature range from -20ºC to 80ºC. The final chapter will present three different methods of further temperature compensation. A compensation scheme that utilizes the nonlinear amplitude-frequency effect is shown improve the bias stability over the temperature range. Then, the implementation and results from an active compensation method known as ovenization are discussed. By actively controlling the device temperature with an embedded heater, improvements on both bias and scale factor stability over the temperature range are demonstrated. Lastly, a calibration method using in-situ temperature sensing is introduced. Preliminary results show a 0-g bias drift of 38μg over the same temperature range.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2019; ©2019
Publication date 2019; 2019
Issuance monographic
Language English

Creators/Contributors

Author Shin, Dongsuk
Degree supervisor Kenny, Thomas William
Thesis advisor Kenny, Thomas William
Thesis advisor Senesky, Debbie
Thesis advisor Solgaard, Olav
Degree committee member Senesky, Debbie
Degree committee member Solgaard, Olav
Associated with Stanford University, Department of Mechanical Engineering.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Dongsuk Shin.
Note Submitted to the Department of Mechanical Engineering.
Thesis Thesis Ph.D. Stanford University 2019.
Location electronic resource

Access conditions

Copyright
© 2019 by Dongsuk Shin
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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