Low-Order H₂/H<sub>∞<sub> Controller Design for Aeroelastic Vibration Suppression</sub></sub>

This paper presents an H₂/H<sub>∞<sub> minimization-based output-feedback controller for active aeroelastic vibration suppression in a cantilevered beam. First, a nonlinear structural model incorporating moderate deflection and aerodynamic loading is derived and discretized using the finite element method (FEM). Then, a low-order linear model is identified from random gaussian input response data from the FEM model to synthesize an output-feedback controller using the H₂/H<sub>∞<sub> framework. A frequency-weighted dynamic filter is introduced to emphasize disturbance frequencies of interest, enabling the controller to target dominant vibration modes. Simulation results demonstrate the effectiveness of the proposed technique for vibration suppression and study its robustness to system parameter variations, including actuator placement.</sub></sub></sub></sub>

Authors

Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2025-12-11
DOI
https://doi.org/10.13016/m2cyfc-fnqj
Primary Topic
Aeroelasticity and Vibration Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low-Order H₂/H∞ Controller Design for Aeroelastic Vibration Suppression

Mohammad Mirtaba, Juan A. Paredes, Ankit Goel, Daning Huang
Maryland Shared Open Access Repository (USMAI Consortium)
Aeroelasticity and Vibration Control
article

Low-Order H₂/H∞ Controller Design for Aeroelastic Vibration Suppression

Mohammad Mirtaba, Juan A. Paredes, Ankit Goel, Daning Huang
article en

Abstract

This paper presents an H₂/H<sub>∞<sub> minimization-based output-feedback controller for active aeroelastic vibration suppression in a cantilevered beam. First, a nonlinear structural model incorporating moderate deflection and aerodynamic loading is derived and discretized using the finite element method (FEM). Then, a low-order linear model is identified from random gaussian input response data from the FEM model to synthesize an output-feedback controller using the H₂/H<sub>∞<sub> framework. A frequency-weighted dynamic filter is introduced to emphasize disturbance frequencies of interest, enabling the controller to target dominant vibration modes. Simulation results demonstrate the effectiveness of the proposed technique for vibration suppression and study its robustness to system parameter variations, including actuator placement.</sub></sub></sub></sub>

Maryland Shared Open Access Repository (USMAI Consortium)
Openalex Percentile: Top 16%
Aeroelasticity and Vibration Control
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.