Fluctuating Harmonic Control of Helicopter Fuselage Under Strongly Time-Varying Loads

Helicopter fuselage vibration is mainly caused by rotor excitation loads. Active vibration control (AVC) has become an effective means to reduce helicopter fuselage vibration. The higher harmonic control (HHC) algorithm in the frequency domain has been widely used in AVC due to advantages such as simplicity, strong robustness, and ease of implementation. However, HHC has drawbacks such as long updating intervals of control inputs and updating delays. The harmonic synchronous identification-updating (HSIU) algorithm can effectively address the drawbacks of HHC, but its convergence speed depends on the updating step size. These frequency domain algorithms can effectively suppress the steady-state vibration responses of the fuselage, but the AVC effect is significantly decreased when the rotor excitation loads are strongly time-varying. In this paper, a fluctuating harmonic control (FHC) algorithm is proposed to achieve fast convergence and high effectiveness for the AVC of a helicopter fuselage under strongly time-varying loads. AVC simulations of a helicopter fuselage structure under several strongly time-varying loads were conducted by using the HHC, HSIU, and FHC algorithms, respectively, indicating that the FHC algorithm proposed in this paper can efficiently and quickly control helicopter fuselage vibration under strongly time-varying loads.

Authors

Institutions

Publication Details

Journal
AIAA Journal
Published
2026-03-24
DOI
https://doi.org/10.2514/1.j065057
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

Fluctuating Harmonic Control of Helicopter Fuselage Under Strongly Time-Varying Loads

Pinqi H. Xia, Kai Lang, Junhao Zhang, Xiao Wang
AIAA Journal
Aeroelasticity and Vibration Control
article

Fluctuating Harmonic Control of Helicopter Fuselage Under Strongly Time-Varying Loads

Pinqi H. Xia, Kai Lang, Junhao Zhang, Xiao Wang
article en

Abstract

Helicopter fuselage vibration is mainly caused by rotor excitation loads. Active vibration control (AVC) has become an effective means to reduce helicopter fuselage vibration. The higher harmonic control (HHC) algorithm in the frequency domain has been widely used in AVC due to advantages such as simplicity, strong robustness, and ease of implementation. However, HHC has drawbacks such as long updating intervals of control inputs and updating delays. The harmonic synchronous identification-updating (HSIU) algorithm can effectively address the drawbacks of HHC, but its convergence speed depends on the updating step size. These frequency domain algorithms can effectively suppress the steady-state vibration responses of the fuselage, but the AVC effect is significantly decreased when the rotor excitation loads are strongly time-varying. In this paper, a fluctuating harmonic control (FHC) algorithm is proposed to achieve fast convergence and high effectiveness for the AVC of a helicopter fuselage under strongly time-varying loads. AVC simulations of a helicopter fuselage structure under several strongly time-varying loads were conducted by using the HHC, HSIU, and FHC algorithms, respectively, indicating that the FHC algorithm proposed in this paper can efficiently and quickly control helicopter fuselage vibration under strongly time-varying loads.

AIAA Journal
Nanjing University of Aeronautics and Astronautics (CN)
Affordable and clean energy
Openalex Percentile: Top 9%
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.