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Stability analysis of a controlled aluminium panel using neural network methodology

机译:使用神经网络方法对受控铝板进行稳定性分析

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In recent years, significant activity has been directed toward active control of mechanical structures. In particular, this is the case of structures subjected to random vibrations where the vibratory environment can deteriorate their performance or cause faulty operation. Development of the regulator, which defines the commands to the actuators, is done by the implementation of a small model of the system to be integrated in real time. This paper presents the active control of a generic mechanical structure and analyzes the influence of the uncertain parameters on the stability and the performance of the system by using the artificial neural network methodology.
机译:近年来,重要的活动已指向主动控制机械结构。特别是在随机振动的结构中,振动环境会降低其性能或导致错误的操作。调节器的开发定义了执行器的命令,这是通过实施要实时集成的系统的小型模型来完成的。本文介绍了一种通用机械结构的主动控制,并使用人工神经网络方法分析了不确定参数对系统稳定性和性能的影响。

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