Internal combination resonance in a Micro Electro-Mechanical three-axis gyroscope: Experimental results and reduced-order modelling via invariant manifolds

This work investigates internal combination resonance in a Micro-Electro-Mechanical System (MEMS) three-axis gyroscope, where energy couples among three vibrational modes via the relationship ω 1 + ω 2 ≈ ω 3 . The phenomenon is first characterised experimentally through frequency response measurements and spectrograms, revealing paired resonance peaks that emerge only under dual-frequency excitation. A theoretical framework grounded in complex normal form theory is then developed, deriving analytical expressions for the frequency-response curves which are shown to replicate the experimental findings. A reduced-order model of the fully coupled electromechanical problem is constructed via Direct Parametrisation of Invariant Manifolds applied to the full finite element mesh (1.3 million degrees of freedom), demonstrating quantitative agreement with experiments and validating the predicted mechanisms. By combining invariant manifold parametrisation with complex normal form theory, the methodology bridges the gap between analytical understanding and practical finite element reduction, yielding explicit solutions for nonlinear phenomena whilst maintaining computational efficiency for large-scale systems. The results validate invariant manifold methods as a robust tool for MEMS design and control applications.

Authors

Institutions

Publication Details

Journal
Mechanical Systems and Signal Processing
Published
2026-09-14
DOI
https://doi.org/10.1016/j.ymssp.2026.114933
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Internal combination resonance in a Micro Electro-Mechanical three-axis gyroscope: Experimental results and reduced-order modelling via invariant manifolds

Federico Morelli, Attilio Frangi, Cyril Touzé, Patrick Fedeli et al.
Mechanical Systems and Signal Processing
Advanced MEMS and NEMS Technologies
article

Internal combination resonance in a Micro Electro-Mechanical three-axis gyroscope: Experimental results and reduced-order modelling via invariant manifolds

Federico Morelli, Attilio Frangi, Cyril Touzé, Patrick Fedeli, A. Colombo, Marco Villa
article en

Abstract

This work investigates internal combination resonance in a Micro-Electro-Mechanical System (MEMS) three-axis gyroscope, where energy couples among three vibrational modes via the relationship ω 1 + ω 2 ≈ ω 3 . The phenomenon is first characterised experimentally through frequency response measurements and spectrograms, revealing paired resonance peaks that emerge only under dual-frequency excitation. A theoretical framework grounded in complex normal form theory is then developed, deriving analytical expressions for the frequency-response curves which are shown to replicate the experimental findings. A reduced-order model of the fully coupled electromechanical problem is constructed via Direct Parametrisation of Invariant Manifolds applied to the full finite element mesh (1.3 million degrees of freedom), demonstrating quantitative agreement with experiments and validating the predicted mechanisms. By combining invariant manifold parametrisation with complex normal form theory, the methodology bridges the gap between analytical understanding and practical finite element reduction, yielding explicit solutions for nonlinear phenomena whilst maintaining computational efficiency for large-scale systems. The results validate invariant manifold methods as a robust tool for MEMS design and control applications.

Mechanical Systems and Signal ProcessingVol. 260
Centre National de la Recherche Scientifique (FR), École Nationale Supérieure de Techniques Avancées (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), STMicroelectronics (Italy) (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 20%
Advanced MEMS and NEMS Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.