风洞模型-支撑系统多维振动特性辨识与实验研究

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摘要针对风洞模型-支撑系统振动特性不明导致控制有效性差的问题，首先基于风洞模型-支撑系统的结构与原理，设计了系统振动特性辨识整体方案；其次建立了系统的等效动力学模型，通过引入动刚度对系统的俯仰、偏航维度振动特性进行了理论分析；进而提出了“正弦扫频-频谱细化-频响函数”振动特性辨识方法，并依据辨识结果建立了振动状态估计模型，将其引入控制闭环形成了基于辨识的控制方法；最后开展了脉冲响应实验与锤击实验，并对比了传统方法与基于辨识的控制方法的抑振效果。实验结果表明：俯仰、偏航维度频率响应辨识结果的均方根误差分别为0.0840g/V、0.0075g/V，且基于辨识的控制方法相较于传统控制方法将俯仰、偏航维度的等效阻尼比分别提升了1.48、3.00倍，具有明显优势。

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	孙晨晋1
	周孟德1
	任宇航1
	张新雨1
	赵麒1
	闫欢欢2
	刘巍1

关键词 ：风洞模型-支撑系统, 多维振动特性, 辨识方法, 振动状态估计模型, 基于辨识的控制

Abstract：To address the problem of poor control effectiveness due to unknown vibration characteristics of wind tunnel model-support system, firstly, the structure and principle of wind tunnel model-support system are analyzed, and the identification scheme of system vibration characteristics is proposed. Secondly, the equivalent dynamics model of the system is established, and the pitch and yaw dimensional vibration characteristics of the system are analyzed theoretically by introducing dynamic stiffness. Then, a vibration characteristics identification method is proposed, including sinusoidal sweeping, spectrum refinement, and frequency response function. And the vibration state estimation model is established based on the identification results, which is introduced into the closed-loop control resulting in the identification-based control method. Finally, the impulse response experiment and hammering experiment are conducted, and the vibration suppression results of the conventional control method and the identification-based control method is compared. The experimental results show that the root mean square error of the frequency response discrimination in pitch and yaw dimensions is 0.0840 g/V and 0.0075 g/V, respectively. Compared with the conventional control method, the identification-based control method improves the equivalent damping ratios of pitch and yaw dimensions by 1.48 and 3.00 times, respectively, which has obvious advantages over the conventional control method.

Key words： wind tunnel model-support system multidimensional vibration characteristics identification method vibration state estimation model identification-based control

收稿日期: 2023-02-10 出版日期: 2024-02-15

引用本文:

孙晨晋1，周孟德1，任宇航1，张新雨1，赵麒1，闫欢欢2，刘巍1. 风洞模型-支撑系统多维振动特性辨识与实验研究[J]. 振动与冲击, 2024, 43(3): 218-226.
SUN Chenjin1, ZHOU Mengde1, REN Yuhang1, ZHANG Xinyu1, ZHAO Qi1, YAN Huanhuan2, LIU Wei1. Identification and experimental study on multidimensional vibration characteristics of wind tunnel model-support system. JOURNAL OF VIBRATION AND SHOCK, 2024, 43(3): 218-226.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2024/V43/I3/218

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