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Development of a Multifunctional Smart Board with Embedded Self-Sensing Piezoelectric Actuators

具有嵌入式自感应压电执行器的多功能智能板的开发

基本信息

批准号：
15360118
负责人：
TAKAGI Toshiyuki
金额：
$ 9.41万
依托单位：
Tohoku University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2004
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15360118/
关键词：
piezoelectric actuators vibration control noise control smart board adaptive control

项目摘要

Based on the modal analysis of an aluminum plate bounded with piezoelectric elements that were used self-sensing actuators, the state equations of the system were established. A controller was designed using the H_∞. and μ synthesis robust control theory and both simulation and experiment of vibration suppression were carried. The results showed that the vibration of the first mode was reduced by 15 dB.Next a control system with self-sensing actuators and adaptive control approach, which is base on FIR filter and LMS was established for the vibration suppression of a smart composite board with embedded piezoelectric elements. The advantages of this kind of control are that it does not require the mathematical model of the vibration system and that it can always maintain the optimal state even when the parameters of the systems change. With the new control system, the vibration was successfully suppressed not only at the resonance frequency of the first mode, but also at the resonance frequency of all the modes under 1,200 Hz.Furthermore, an active noise control system was constructed using the adaptive control approach and the smart board and adaptive control with embedded piezoelectric elements. Since the self-sensing piezoelectric actuator can only measure the vibration of the smart board, an estimator was constructed to estimate the noise pressure level from the signals of the piezoelectric elements. The advantage of this noise control system is that it does need microphone so that it can be more compact in size. The experimental results show that the noise can be effectively suppressed at many resonance peaks under 1,200Hz.

通过对采用自传感执行器的压电元件约束的铝板进行模态分析，建立了系统的状态方程。使用H_∞设计了控制器。进行了μ综合鲁棒控制理论以及振动抑制的仿真和实验。结果表明，第一模态振动降低了15 dB。接下来，建立了基于FIR滤波器和LMS的自感知执行器和自适应控制方法的控制系统，用于抑制嵌入压电元件的智能复合板的振动。这种控制的优点是不需要振动系统的数学模型，即使系统参数发生变化也能始终保持最优状态。利用新的控制系统，不仅在第一模态的共振频率处，而且在1200 Hz以下的所有模态的共振频率处都成功抑制了振动。此外，利用自适应控制方法以及带有嵌入式压电元件的智能板和自适应控制构建了主动噪声控制系统。由于自感压电致动器只能测量智能板的振动，因此构建了估计器来根据压电元件的信号估计噪声压力水平。这种噪声控制系统的优点是不需要麦克风，从而可以使体积更加紧凑。实验结果表明，在1200Hz以下的多个共振峰处可以有效抑制噪声。

项目成果

期刊论文数量（38）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Vibration control of a plate using a self-sensing piezoelectric actuator and an adaptive control approach

DOI：
10.1177/1045389x06055760
发表时间：
2006-08-01
期刊：
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
影响因子：
2.7
作者：
Qiu, Jinhao;Haraguchi, Masakazu
通讯作者：
Haraguchi, Masakazu

J.Qiu, J.Tani, N.Kamimura: "Smart Board with Embedded Piezoelectric Sensors and Actuators"Materiaux&Techniques. 83-87 (2002)

J.Qiu、J.Tani、N.Kamimura：“带有嵌入式压电传感器和执行器的智能板”Materiaux

DOI：
发表时间：
期刊：
影响因子：
0
作者：
通讯作者：

Noise control with a smart board : a comparison between active and semi-passive approaches

使用智能板进行噪声控制：主动和半被动方法之间的比较

DOI：
发表时间：
2005
期刊：
Journal of Advanced Science (In press)
影响因子：
0
作者：
Kaori YUSE;Gael SEBALD;Claude RICHARD;Daniel GUYOMAR;Jinhao QIU;Makoto YOSHIDA
通讯作者：
Makoto YOSHIDA

Suppression of Noise Radiation from a Plate Using Self-Sensing Actuators