Skip to main content

Characterization of Strongly Coupled Micro-Resonator Systems for Multi-Sensor Applications

Resource type
Thesis type
(Thesis) Ph.D.
Date created
The objective of this research is analyzing the behavior of strongly coupled micro-resonating systems. In coupled resonator arrays, the additional degrees of freedom from coupling of the resonators to each other can be employed to enhance the sensitivity and selectivity of the sensor system. In order to achieve this, the effect of coupling strength on sensitivity of the system is investigated. It is shown that sensitivity of the sensor system to perturbations can be increased significantly through proper selection of the coupling coefficient between resonators. To date, the research on coupled resonant sensors has concentrated on weakly coupled systems which mostly depend on measurement of signal amplitudes. Conversely, strongly coupled resonant sensor systems, provide a frequency output with all the advantages of resonant sensing. It is established that by moving to the strongly coupled region, the sensitivity of the coupled system to the input is increased compared to uncoupled resonator systems. Moreover, a method for processing signals from a coupled resonator array is developed which relates the perturbation ratio to the relative change in eigenvalues before and after insertion of perturbation. The method is based on analyzing the relative differences between eigenvalues of the system, which is in contrast to the commonplace methods of focusing on individual modes of a the coupled system. Besides enhanced sensitivity, this property can be employed to reduce the effect of manufacturing tolerances on the sensor system response. The proposed model is experimentally verified using coupled resonator arrays fabricated through in-house and standard micro-fabrication processes
Copyright statement
Copyright is held by the author.
The author granted permission for the file to be printed and for the text to be copied and pasted.
Scholarly level
Supervisor or Senior Supervisor
Thesis advisor: Bahreyni, Behraad
Download file Size
etd8723_MHajHashemi.pdf 23.36 MB

Views & downloads - as of June 2023

Views: 27
Downloads: 1