一种用于风洞中悬架的主动压电阻尼振动控制系统

IF 2.4 3区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Journal of Intelligent Material Systems and Structures Pub Date : 2023-08-22 DOI:10.1177/1045389x231192303
Yun-Fu Huang, X. Shen, Binwen Wang, Lei Zhang
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引用次数: 0

摘要

在风洞试验中,悬臂杆支撑体系由于其固有的低结构阻尼特性,经常发生低频大振幅共振,导致数据质量下降,结构安全性下降。为了提高风洞测试的安全性和数据的准确性,本文致力于建立一种基于压电堆叠致动器的风洞振动主动控制系统。提出了一种基于模态变换的振动监测方法,利用实测应变和应变-位移变换(SDT)矩阵重构动态位移场。同时,采用改进的粒子群算法对应变传感器位置进行优化,减小了该方法的系统估计误差。在此基础上,建立了反向传播神经网络(BPNN)实现自适应控制策略。进行了一系列验证测试,以证明所提出系统的有效性。实验结果表明,振动位移估计值与实测值的相对均方根误差(RMSE)小于3%,地面试验振动衰减达到14 dB/Hz以上,证明了该智能主动振动抑制系统的优越性。
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An active piezoelectric damping vibration control system for the sting used in wind tunnel
In wind tunnel tests, the cantilever sting supporting system often suffers from low-frequency and large-amplitude resonance due to its inherent low structural damping characteristic, resulting in the degradation of data quality and structural safety. To improve wind tunnel testing safety and data accuracy, this paper is dedicated to establish an active vibration control system using piezoelectric stack actuators. A novel methodology of vibration monitoring based on modal transformation, which uses measured strain and a Strain-to-Displacement Transformation (SDT) matrix to reconstruct dynamic displacement field, is proposed herein. Meanwhile, strain sensor positions are optimized by an improved Particle Swarm Optimization (PSO) algorithm to reduce systematic estimation errors of this method. Furthermore, a Back-Propagated Neutral Network (BPNN) is established to implement a self-adaptive control strategy. A series of verification tests are performed to demonstrate the validity of the proposed system. Experimental results indicate that the relative Root Mean Square Error (RMSE) between estimated vibration displacement and measured vibration displacement is less than 3%, and a vibration attenuation of over 14 dB/Hz is achieved in ground tests, proving the superiority of this intelligent active vibration suppression system.
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来源期刊
Journal of Intelligent Material Systems and Structures
Journal of Intelligent Material Systems and Structures 工程技术-材料科学:综合
CiteScore
5.40
自引率
11.10%
发文量
126
审稿时长
4.7 months
期刊介绍: The Journal of Intelligent Materials Systems and Structures is an international peer-reviewed journal that publishes the highest quality original research reporting the results of experimental or theoretical work on any aspect of intelligent materials systems and/or structures research also called smart structure, smart materials, active materials, adaptive structures and adaptive materials.
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