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Architecture definition of a piezoceramic-based ANN system for multiple-tone vibration su

机译:基于压电陶瓷的多音振动系统的神经网络架构定义

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Abstract: The capabilities of a system developed on the basis of ANN are preliminarily evaluated, in suppressing the vibration field related to a general structural element; to this introductory aim, a numerical FE-model of a flat plate, part of an acoustic box for technology demonstration of architectures for sound radiation reduction, is referred to. The aluminum panel is excited by a 2-tonal point force, with the main peak at 50 Hz. The force may vary in frequency and amplitude ($POM@2% and $POM@10%, respectively). The time delay, between the two components of the signal is considered time-varying. A control system referring to 4 piezoelectric ceramic actuators and 8 accelerometers is used to minimize the vibration field; the placement of the different devices is defined by means of a proper tool based on Genetic Algorithms, and able to consider both the investigated frequencies; time delay (or phase shift), is not take into account in this process. An arbitrary signal, simulating the corresponding reference for the vibration suppression system, is transmitted to an ANN-based observer, aimed at identifying all the characteristic values, namely the amplitudes, the frequencies and the time shift. A classic feed-forward type minimization algorithm, ANN-based, is implemented. The identified solution is validated by means of a FE simulation, developed in the time domain, where the disturbance force is acting with the true values of the component sinusoidal forces (amplitude and frequencies), shifted by the correct value of the imposed phase. To have a first estimate of the capability of the proposed architecture in following the signal variations, a new signal is given to the ANN identifier, and the whole process is repeated.!22
机译:摘要:初步评估了基于神经网络开发的系统的性能,以抑制与一般结构元素有关的振动场;出于此介绍性目的,请参考平板的数值有限元模型,该平板是用于技术演示的用于降低声音辐射的声学盒的一部分。铝面板由2音调的点力激励,主峰值为50 Hz。力的频率和振幅可能会有所不同(分别为$ POM @ 2%和$ POM @ 10%)。信号的两个分量之间的时间延迟被认为是时变的。参照4个压电陶瓷执行器和8个加速度计的控制系统用于最小化振动场。通过基于遗传算法的适当工具定义不同设备的位置,并且能够考虑两个调查的频率;时间延迟(或相移),在此过程中不予考虑。模拟振动抑制系统的相应参考的任意信号被传输到基于ANN的观察器,旨在识别所有特征值,即振幅,频率和时移。实现了基于ANN的经典前馈类型最小化算法。所识别的解决方案通过在时域中开发的有限元仿真进行验证,其中干扰力作用于分量正弦力的真实值(振幅和频率),并偏移了所施加相位的正确值。为了对所提出的体系结构跟随信号变化进行初步估计,将新信号提供给ANN标识符,并重复整个过程。22

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