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A novel vibration measurement and active control method for a hinged flexible two-connected piezoelectric plate

机译:铰接式柔性二联压电板的新型振动测量与主动控制方法

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摘要

A novel non-contact vibration measurement method using binocular vision sensors is proposed for piezoelectric flexible hinged plate. Decoupling methods of the bending and torsional low frequency vibration on measurement and driving control are investigated, using binocular vision sensors and piezoelectric actuators. A radial basis function neural network controller (RBFNNC) is designed to suppress both the larger and the smaller amplitude vibrations. To verify the non-contact measurement method and the designed controller, an experimental setup of the flexible hinged plate with binocular vision is constructed. Experiments on vibration measurement and control are conducted by using binocular vision sensors and the designed RBFNNC controllers, compared with the classical proportional and derivative (PD) control algorithm. The experimental measurement results demonstrate that the binocular vision sensors can detect the low-frequency bending and torsional vibration effectively. Furthermore, the designed RBF can suppress the bending vibration more quickly than the designed PD controller owing to the adjustment of the RBF control, especially for the small amplitude residual vibrations.
机译:提出了一种新的使用双目视觉传感器的非接触式振动测量方法,用于压电柔性铰链板。研究了使用双目视觉传感器和压电致动器对弯曲和扭转低频振动进行测量和驱动控制时的解耦方法。径向基函数神经网络控制器(RBFNNC)被设计为抑制较大和较小振幅的振动。为了验证非接触式测量方法和设计的控制器,构建了具有双目视觉的柔性铰链板的实验装置。与经典比例和微分(PD)控制算法相比,使用双目视觉传感器和设计的RBFNNC控制器进行了振动测量和控制的实验。实验测量结果表明,双目视觉传感器可以有效地检测低频弯曲和扭转振动。此外,由于调整了RBF控制,因此设计的RBF比设计的PD控制器可以更快地抑制弯曲振动,尤其是对于小振幅残余振动。

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