Author:
Liu Jie,Liu Zezheng,Chen Wanqian,Lv Jing,Jiang Zixuan,Pang Jiahao,Du Libin
Abstract
AbstractDuring the flight of a UAV (unmanned aerial vehicle), the LiDAR device undergoes random vibrations due to the changing flight attitude and wind speed conditions of the UAV. It is important to control the frequency and amplitude of the vibrations within a reasonable range by means of a damping structure. As the vibrations caused by various factors during flight are random and non-linear, this paper innovates the analysis principle and damping control means for the random vibrations of airborne optoelectronic devices. The response spectrum analysis theory is used to establish the shock response spectrum, and an optimised and improved recursive digital filtering method is used to fit the frequencies of random vibration to the synthetic shock response. Considering the uncertainty of the vibration excitation signal, a virtual excitation method is used for the first time to simulate the random vibration to which the radar may be subjected in the air, and to simplify the calculation steps. The shock plate structure is designed using a multi-point control method to innovate a passive response to the random excitation. Finally, a modal analysis of the synthesised impact response was carried out. It is verified that the first six modal frequencies are controlled within 220 Hz, realising the frequency reduction. The amplitude of the three x, y, and z directions is controlled to within 0.5 mm, thus achieving vibration damping.
Funder
Investigation of seawater salinity sensing mechanism based on transmission group time-delay measurement under the influence of suspended particles
Publisher
Springer Science and Business Media LLC
Reference29 articles.
1. Nyobuya, H. J., Halinga, M. S. & Uchiyama, N. Simple adaptive control for industrial feed drive systems using a jerk-based augmented output signal. Int. J. Adv. Manuf. Technol. 128, 3613–3626. https://doi.org/10.1007/s00170-023-12059-9 (2023).
2. Laaradj, S. H. et al. Vibration-based fault diagnosis of dynamic rotating systems for real-time maintenance monitoring. Int. J. Adv. Manuf. Technol. 126, 3283–3296. https://doi.org/10.1007/s00170-023-11320-5 (2023).
3. Neusser, Z. et al. Active vibration damping for manufacturing machines using additional cable mechanisms: Conceptual design. Int. J. Adv. Manuf. Technol. 122, 3769–3787. https://doi.org/10.1007/s00170-022-10075-9 (2022).
4. Chen, J. Y. et al. Advances in control technology for multi-point excitation vibration tests. Vib. Shock 30(3), 69–73 (2011).
5. Shi, M. et al. Advances in shock response spectrum test techniques. Environ. Technol. 39(05), 47–51 (2021).