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Active vibration isolation of a flexible structure mounted on a vibrating elastic base

机译:安装在振动弹性基座上的柔性结构的主动隔振

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The problem of isolating the vibration at any location on a flexible structure mounted on a vibrating flexible base is considered using a Kalman-based active feedforward-feedback controller (KAFB) with non-collocated sensors and actuators. The control strategy developed in this study focuses on lowering the force transmitted to the structure through its vibrating elastic foundation in the presence of process and measurements noise. A state-space model of the structure is constructed from the natural frequencies and mode shapes generated via finite element modal analysis of the structure. The important aspect of the proposed control strategy is that, while it's design is based on a full order model of the physical structure (plant), its implementation is reduced to the realization of a second order estimator regardless of the order of the plant model, and with negligible effect on its accuracy and performance. Therefore, the proposed control strategy requires low computational effort, which makes it well suited for real time control applications. Another unique aspect of this control strategy is its agility and speed in compensating for any phase or magnitude mismatch between transmitted force and control force. Moreover, the stability of the control system is implicitly attained by the controllability condition posed by the Kalman filter on the model. Thus, proper choice of Kalman gains will drive the states of the structure, at the sensor location, ideally to zero. In addition to that, digital implementation of the proposed controller can be easily done considering the fact that the discrete Kalman filter is exact. Numerical simulation of the controller performance is carried out and the results are presented. (C) 2003 Published by Elsevier Ltd. [References: 15]
机译:使用带有非共置传感器和致动器的基于Kalman的主动前馈-反馈控制器(KAFB),可以考虑隔离安装在振动柔性基座上的柔性结构上任何位置的振动的问题。在这项研究中开发的控制策略着重于在存在过程和测量噪声的情况下降低通过其振动弹性基础传递到结构的力。结构的状态空间模型是根据通过结构的有限元模态分析生成的固有频率和模态形状构建的。拟议的控制策略的重要方面是,尽管其设计基于物理结构(工厂)的全序模型,但无论工厂模型的次序如何,其实现都简化为实现二阶估计器,对其准确性和性能的影响可忽略不计。因此,所提出的控制策略需要较少的计算量,这使其非常适合于实时控制应用。该控制策略的另一个独特方面是它的敏捷性和速度,可以补偿传递力和控制力之间的任何相位或大小不匹配。此外,通过卡尔曼滤波器对模型提出的可控性条件,隐含地获得了控制系统的稳定性。因此,正确选择卡尔曼增益将驱动传感器位置的结构状态,理想情况下为零。除此之外,考虑到离散卡尔曼滤波器的精确性,可以轻松完成所提出控制器的数字实现。进行了控制器性能的数值模拟,并给出了结果。 (C)2003年由Elsevier Ltd.出版。[参考:15]

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