Active vibration control using pole placement method of a flexible plate structure optimised by genetic algorithm

T. A. Rahman, I. Darus
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引用次数: 6

Abstract

Active vibration control (AVC) of flexible structure has given remarkable attention in recent years due to its importance in engineering applications. This research investigates the application of system identification to model a dynamic system of flexible plate structure for active vibration control purpose. A second order ARX model optimised by genetic algorithm (GA) is employed to represent the dynamical system and then feedback controller using pole placement method is exploited to stabilise the system and attenuate the disturbance vibration. The result indicates that pole placement method has capability to ensure the stability of the system while suppressing the disturbance vibration of flexible plate system.
基于遗传算法优化的柔性板结构极点配置方法的振动主动控制
柔性结构的主动振动控制由于其在工程应用中的重要性,近年来受到了广泛的关注。本文研究了将系统辨识方法应用于柔性板结构的动态系统建模,以达到振动主动控制的目的。采用遗传算法优化的二阶ARX模型来表示动力系统,然后采用极点配置方法的反馈控制器来稳定系统并减弱扰动振动。结果表明,极点布置方法能够在保证系统稳定性的同时抑制柔性板系统的扰动振动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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