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Fault Diagnosis and Fault Tolerant Control for Non-Gaussian Singular Time-Delayed Stochastic Distribution Systems with Disturbance Based on the Rational Square-Root Model

机译:基于有理平方根模型的带干扰的非高斯奇异时滞随机分布系统的故障诊断与容错控制

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摘要

For the non-Gaussian singular time-delayed stochastic distribution control (SDC) system with unknown external disturbance where the output probability density function (PDF) is approximated by the rational square-root B-spline basis function, a robust fault diagnosis and fault tolerant control algorithm is presented. A full-order observer is constructed to estimate the exogenous disturbance and an adaptive observer is used to estimate the fault size. A fault tolerant tracking controller is designed using the feedback of distribution tracking error, fault, and disturbance estimation to let the postfault output PDF still track desired distribution. Finally, a simulation example is included to illustrate the effectiveness of the proposed algorithms and encouraging results have been obtained.
机译:对于外部干扰未知的非高斯奇异时滞随机分布控制(SDC)系统,其输出概率密度函数(PDF)由有理平方根B样条基函数逼近,具有鲁棒的故障诊断和容错能力提出了控制算法。构造一个全序观测器来估计外源干扰,并使用自适应观测器来估计故障大小。利用分布跟踪误差,故障和干扰估计的反馈设计容错跟踪控制器,以使故障后输出PDF仍然跟踪所需的分布。最后,包括一个仿真实例来说明所提出算法的有效性,并获得了令人鼓舞的结果。

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  • 来源
    《Journal of control science and engineering》 |2016年第1期|9563481.1-9563481.11|共11页
  • 作者

    Yuancheng Sun; Zhanhong Liang;

  • 作者单位

    School of Electrical Engineering, Zhengzhou University, Zhengzhou, Henan 450001, China;

    School of Electrical Engineering, Zhengzhou University, Zhengzhou, Henan 450001, China;

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  • 正文语种 eng
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