摘要
针对压电被动振动方法中电路参数环境适应能力差、电路复杂和压电主动振动方法需要较高的输入功率问题,提出了一种基于压控电荷源和小波变换自适应算法的振动主-被动控制策略。首先,针对压电片等效电路的特点,设计了压控电荷源电路,并阐述了主-被控制方法的控制原理;对于压控电荷源的控制电压,引入了小波变换自适应算法,提高了系统的自适应能力。最后,基于dSPACE实时仿真系统,利用模拟电路和压电元件,设计并建立了四边固支的压电合金板的主-被动振动控制实验平台,对提出的方法进行了正弦和白噪声激励下的振动控制实验研究。结果表明,提出的方法能够有效的抑制压电合金板结构由于正弦激励引起的单模态和多模态振动,且能有效抑制白噪声激励引起的随机振动。
Abstract
In the passive piezoelectric vibration method, the parameters of branch circuit is sensitive to environmetal changes, and the branch circuit will become complex with the increase of model number. The active piezoelectric vibration control method requires higher input power. Aiming at these problems, the paper presents an active-passive control method, which based on the voltage controlled charge source and the wavelet transformation adaptive algorithm. Firstly, the voltage controlled charge source is designed according to the equivalent circuit of piezoelectric film, and the principle of the active-passive control method is described detailedly. This paper uses the wavelet transform adaptive algorithm for adjusting the control voltage of the charge source. Finally, in order to verify the proposed active-passive method, the experimental platform which is an alloy rectangular thin plate clamped with stiff base is set-up using the dSPACE real-time simulation platform and the elements of analog circuit and piezoelectric. The experiment is carried under sinusoidal and white noise excitation. The experimental results show the proposed control method not only can suppress effectively the single mode and multimode vibration produced by sinusoidal signal, and also can suppress effectively the vibration produced by white noise signal.
关键词
板结构 /
多模态振动控制 /
主-被动控制 /
压电元件 /
小波
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Key words
panel structure /
multi-modal vibration control /
active-passive control /
piezoelectric element /
wavlet
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马小陆;裘进浩;季宏丽;李生权.
基于压控电荷源和小波变换自适应算法的主-被动压电振动控制[J]. 振动与冲击, 2012, 31(11): 22-25,3
Ma Xiao-lu;QIU Jin-hao;JI Hong-li;Li Sheng-quan.
Active-passive piezoelectric vibration control means based on the voltage controlled charge source and the wavelet transform adaptive algorithm[J]. Journal of Vibration and Shock, 2012, 31(11): 22-25,3
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脚注
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