基于解析模态分解的极小宽深比液体晃动非线性参数辨识及试验方法

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摘要针对当前无人驾驶飞行器工程研制中储箱燃油晃动频率过低与刚体频率接近且随燃油消耗而时变，影响驾驶仪固定参数陷幅滤波器设计的问题，设计并加工了极小宽深比的密集“井”型隔板，利用振动台+水平滑台组合进行了横向阶跃激励的晃动试验，并以激光多普勒测振仪获取了储箱燃油液面晃动的自由振动衰减响应，采用解析模态分解(analytical mode decomposition，AMD)与基于希尔伯特变换的自由振动分析方法对液体晃动频率及阻尼进行辨识。试验及辨识结果表明：相比于常规稀疏隔板，安装密集“井”型隔板储箱的燃油晃动基频大幅提高，且不会随着燃油液面深度变化而明显变化，晃动模态阻尼大幅增大，晃动幅度快速衰减。

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	李海东1
	李龙1
	侯凯宇2
	史晓鸣1
	夏鹏1
	高阳1

关键词 ：晃动, 极小宽深比, 解析模态分解, 希尔伯特变换, 非线性参数辨识

Abstract：To solve the problem in the notch filter design of unmanned air vehicle caused by fuel tank sloshing frequency closed to rigid body frequency and time-varying as fuel dissipates, minimal ratio of liquid width to depth baffles with "#" profile were designed to suppress sloshing. Transverse step excitation on the fuel tank was exerted by vibration table with sliding table. Free decaying vibration response of the fuel was acquired by laser Doppler vibrometer. Sloshing frequency and damping were identified by Analytical Mode Decomposition and FREEVIB method based on Hilbert Transform. The sloshing fundamental frequency of the fuel tank with minimal ratio of liquid width to depth "#" baffles was much higher than that with sparse baffles, and wasn't varied with the depth of the fuel. The sloshing damping with "#" baffles was also much higher, resulted in the sloshing response decayed very quickly.

Key words： sloshing minimal ratio of liquid width to depth Analytical Modal Decomposition Hilbert Transform nonlinear parametric identification

收稿日期: 2020-12-29 出版日期: 2022-04-28

引用本文:

李海东1，李龙1，侯凯宇2，史晓鸣1，夏鹏1，高阳1. 基于解析模态分解的极小宽深比液体晃动非线性参数辨识及试验方法[J]. 振动与冲击, 2022, 41(8): 188-192.
LI Haidong1,LI Long1,HOU Kaiyu2,SHI Xiaoming1,XIA Peng1,GAO Yang1. An nonlinear parametric identification and test method for minimal ratio of width to depth liquid sloshing based on analytical modal decomposition. JOURNAL OF VIBRATION AND SHOCK, 2022, 41(8): 188-192.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2022/V41/I8/188

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