Alexandria Digital Research Library

Linear and nonlinear sensing techniques in a single input single output MEMS oscillator

Author:
Moran, Kari M.
Degree Grantor:
University of California, Santa Barbara. Mechanical Engineering
Degree Supervisor:
Kimberly L. Turner
Place of Publication:
[Santa Barbara, Calif.]
Publisher:
University of California, Santa Barbara
Creation Date:
2012
Issued Date:
2012
Topics:
Engineering, Mechanical
Keywords:
Coupled dynamics
SISO
Single input single output
Mass sensing
Parametric Resonance
MEMS
Genres:
Dissertations, Academic and Online resources
Dissertation:
Ph.D.--University of California, Santa Barbara, 2012
Description:

A single input single output MEMS parameter sensor is investigated as a candidate for a chemical nose application. MEMS are subject to and influenced by noise sources which are inherent as well as introduced by measurement electronics. A method for quantifying the precision of parameter estimation is applied for prediction of linear sensor resolution in the presence of noise. The dynamic range of linear sensors is bound by the noise floor and the onset of nonlinearity: as the noise increases the dynamic range is thus decreased. Nonlinear sensing techniques are embraced for large amplitude response. Focus is given to a parametric resonator, where the stiness of the structure is modulated near twice the resonant frequency. Statistical methods dene the probability for the parametric resonator to be in a large amplitude state, leading to its resolution. The results of these methods lead toward comparing the linear and nonlinear parameter sensing techniques.

Physical Description:
1 online resource (127 pages)
Format:
Text
Collection(s):
UCSB electronic theses and dissertations
ARK:
ark:/48907/f3930r32
ISBN:
9781267767752
Catalog System Number:
990039147890203776
Rights:
Inc.icon only.dark In Copyright
Copyright Holder:
Kari Moran
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