Dynamic Modeling and Active Vibration Control of Piezoelectric Laminated Structure Based on Macrofiber Composite

IF 4.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Structural Control & Health Monitoring Pub Date : 2024-04-20 DOI:10.1155/2024/8826434
Haitao Luo, Huadong Li, Xingyuan Wu, Guangming Liu, Wei Zhang
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Abstract

In this paper, a ground-based experimental system for solar array active vibration suppression has been established. Firstly, in order to establish an accurate model of the solar array, the solar array is regarded as a flexible cantilevered thin plate, and the corresponding dynamical equations are derived using the absolute nodal coordinate method. In addition, in this paper, the more advanced MFC piezoelectric patch is used instead of the traditional PZT piezoelectric ceramic patch. The electromechanical coupling finite element model of the P1-type MFC patch is established and substituted into the kinetic equation of the solar array. Finally, the accuracy of the electromechanical coupling modeling and the control effect of active vibration suppression were verified using the PID control. A set of experimental frameworks for evaluating the active vibration suppression effect, including the free vibration test, sinusoidal perturbation test, and white noise perturbation test, as well as the analysis strategy of the test data, are established.

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基于大纤维复合材料的压电层叠结构的动态建模和主动振动控制
本文建立了太阳能电池阵列主动振动抑制的地面实验系统。首先,为了建立太阳能电池阵列的精确模型,将太阳能电池阵列视为柔性悬臂薄板,并利用绝对节点坐标法推导出相应的动力学方程。此外,本文采用了更先进的 MFC 压电贴片,而不是传统的 PZT 压电陶瓷贴片。建立了 P1 型 MFC 贴片的机电耦合有限元模型,并将其代入太阳能电池阵列的动力学方程。最后,利用 PID 控制验证了机电耦合建模的准确性和主动振动抑制的控制效果。建立了一套评估主动振动抑制效果的试验框架,包括自由振动试验、正弦扰动试验和白噪声扰动试验,以及试验数据分析策略。
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来源期刊
Structural Control & Health Monitoring
Structural Control & Health Monitoring 工程技术-工程:土木
CiteScore
9.50
自引率
13.00%
发文量
234
审稿时长
8 months
期刊介绍: The Journal Structural Control and Health Monitoring encompasses all theoretical and technological aspects of structural control, structural health monitoring theory and smart materials and structures. The journal focuses on aerospace, civil, infrastructure and mechanical engineering applications. Original contributions based on analytical, computational and experimental methods are solicited in three main areas: monitoring, control, and smart materials and structures, covering subjects such as system identification, health monitoring, health diagnostics, multi-functional materials, signal processing, sensor technology, passive, active and semi active control schemes and implementations, shape memory alloys, piezoelectrics and mechatronics. Also of interest are actuator design, dynamic systems, dynamic stability, artificial intelligence tools, data acquisition, wireless communications, measurements, MEMS/NEMS sensors for local damage detection, optical fibre sensors for health monitoring, remote control of monitoring systems, sensor-logger combinations for mobile applications, corrosion sensors, scour indicators and experimental techniques.
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