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Monitoring and Control of Structures Considering Diverse Uncertainties

机译:考虑多种不确定性的结构监测与控制

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摘要

The structures are coupled with smart technologies such as hybrid type damper demands appropriate control andmonitoring scheme as generally show quite complex nonlinear behavior. Additionally, the structures are vulnerable due toenvironmental changes as well as for inherent nonlinearities of the used materials/devices. Therefore, dealing with variousuncertainties are unavoidable in order to monitor any dynamical system. To do this end, the unscented Kalman filter (UKF)is employed and the structures are assumed to be accompanied with various uncertainties such as structural properties arecorrupted, sensor noise, controller parameters. Further, it is also investigated that the complexity of monitoring of structuralsystems due to the uncertainty of initial covariance, especially, when the structural properties e.g. damping componentsare flawed. In order to perform numerical investigations an eight degree of freedom system is adopted and the viscousdamping (VD) and negative stiffness (NS) and only with negative stiffness (WNS) schemes are employed to estimate thecontrol force of virtual hybrid type control system. The investigated approach is capable of handling diverse uncertaintiesin addition to the process and measurement noise. The outcome will guide to evaluate the conditions (e.g. structural health)of erroneous system in a non-destructive manner by analyzing measured signals.
机译:这些结构与诸如混合型阻尼器之类的智能技术相结合,需要适当的控制和监视方案,因为通常显示出相当复杂的非线性行为。此外,由于环境变化以及所用材料/设备的固有非线性,结构也很脆弱。因此,为了监视任何动态系统,不可避免地要处理各种不确定性。为此,采用无味卡尔曼滤波器(UKF)\ r \ nis,并假定结构​​具有各种不确定性,例如结构特性被损坏,传感器噪声,控制器参数。此外,还研究了由于初始协方差的不确定性,特别是当结构特性例如为零时,结构\ r \ n系统的监视复杂性。阻尼组件\ r \ nare有缺陷。为了进行数值研究,采用了八自由度系统,并且采用了粘性\ r \ namping(VD)和负刚度(NS)以及仅具有负刚度(WNS)方案来估算\ r \ n控制力。虚拟混合型控制系统。研究的方法除处理和测量噪声外,还能够处理各种不确定性。结果将指导通过分析测量信号以非破坏性方式评估错误系统的状况(例如结构健康)\ r \ n。

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  • 会议地点 0277-786X;1996-756X
  • 作者

    M. S. Miah; M. Kaliske;

  • 作者单位

    Institute of Structural Analysis, Faculty of Civil Engineering, Dresden University of Technology-TU Dresden, 01187 Dresden, Germany mohammad_shamim.miah@tu-dresden.de;

    Institute of Structural Analysis, Faculty of Civil Engineering, Dresden University of Technology-TU Dresden, 01187 Dresden, Germany;

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