@article{ZHOU2026, 
author = {Mengde ZHOU and Chenjin SUN and Qi ZHAO and Binkai ZHU and Wei WU and Yuhang REN and Wei LIU},
title = {An adaptive active vibration suppression method for diverse wind tunnel aircraft models},
year = {2026},
journal = {Chinese Journal of Aeronautics},
volume = {39},
number = {1},
keywords = {Active damping, Model support system, Vibration characteristic identification, Vibration control, Vibration state estimation, Wind tunnels},
url = {https://www.sciopen.com/article/10.1016/j.cja.2025.103729},
doi = {10.1016/j.cja.2025.103729},
abstract = {Under the condition of frequent replacement of wind tunnel models, multiple types of wind tunnel models are fixed by a slender support sting with low stiffness damping. When excited by wind load, various models produce random multi-dimensional vibration with different characteristics, which makes it impossible to obtain accurate and efficient aerodynamic data. Therefore, in order to ensure the reliable and efficient conduction of wind tunnel test, a wind-tunnel-model-adaptive vibration control method is proposed in this paper. First, the split type adaptive vibration suppression structure is designed. Second, the multi-dimensional vibration characteristic characterization method is derived and the vibration characteristic identification method of the system is designed. Then, a vibration state estimation model is established according to the identification results of vibration characteristics, and a multi-actuator cooperative control method based on vibration state estimation is constructed. Finally, a model-adaptive vibration control system is built, and vibration characteristics identification and hammer experiments are carried out for two types of typical models. The results show that the proposed model-adaptive vibration control method increases the equivalent damping ratio of pitch and yaw dimensions of the high-aspect-ratio class model by 8.19 times and 48.81 times, respectively. The equivalent damping ratio of pitch and yaw dimensions of the high-slenderness-ratio class model is increased by 16.44 and 5.43 times, respectively. It provides a strong guarantee for the reliable and efficient development of multi-type wind tunnel test tasks.}
}