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Delay-Controlled Frequency Tuning of a MEMS Sensor for Neuromorphic Acoustic Sensing

Folke Johann Rolf, Hermann 1; Feketa, Petro; Meurer, Thomas ORCID iD icon 1
1 Institut für Mechanische Verfahrenstechnik und Mechanik (MVM), Karlsruher Institut für Technologie (KIT)

Abstract:

Frequency tunability marks the ability to change the characteristic frequency of an oscillator.
For MEMS sensors, this is usually achieved by exploiting a sophisticated geometry with a nonlinear
stress-strain relationship. This is known as active frequency tuning. However, MEMS sensors with such
geometries are difficult to manufacture and the characteristic frequency can have a lower limit, which is
constrained by the material constants and geometry of the MEMS sensor. To address this issue, we propose
a different approach to enable active frequency tunability, which is based on designing a feedback loop
with a controllable time delay. We show by analyzing the necessary condition of the Hopf theorem that the
characteristic frequency of this system can be increased indefinitely or decreased to 90% of its original value
by appropriately adjusting the delay and the feedback strengths. These observations can be explained by
combining with the undelayed and delayed feedback loop, which implies that the phase and the amplitude
of the feedback signal can be controlled. In addition, the gain of the sensor becomes tunable, since
the Andronov-Hopf bifurcation can be controlled with this feedback loop. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000180343
Veröffentlicht am 25.03.2025
Originalveröffentlichung
DOI: 10.1109/ACCESS.2025.3546435
Scopus
Zitationen: 1
Web of Science
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mechanische Verfahrenstechnik und Mechanik (MVM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 2169-3536
KITopen-ID: 1000180343
Erschienen in IEEE Access
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Band 13
Seiten 38940–38951
Vorab online veröffentlicht am 27.02.2025
Nachgewiesen in Web of Science
Scopus
Dimensions
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