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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Rational Square-Root模型的干扰非高斯奇异时间延迟随机分配系统故障诊断和容错控制

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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:对于具有未知外部干扰的非高斯奇异时间延迟随机分配控制(SDC)系统,其中输出概率密度函数(PDF)近似于Rational Square-Root B样条函数,鲁棒故障诊断和容错呈现控制算法。构建全阶观察者以估计外源性干扰,并且使用自适应观察者来估计故障尺寸。使用分布跟踪误差,故障和干扰估计的反馈设计了容错跟踪控制器,以使Postfault输出PDF仍然跟踪所需的分布。最后,包括仿真示例以说明所提出的算法的有效性和令人鼓舞的结果。

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