基于全对称多胞形集员估计的乘性故障检测

Multiplicative Fault Detection Based on Zonotopic Set-membership Estimation

  • 摘要: 针对存在未知但有界噪声的离散时间系统,研究基于全对称多胞形集员估计的乘性故障检测问题。首先建立全维状态观测器产生残差信号,通过对状态联合估计下滤波误差系统的分析,得到包含残差信号的全对称多胞体中心向量和生成矩阵的迭代关系式;然后通过求解凸优化问题,获得对过程扰动和测量噪声具有鲁棒性的最优观测器增益,该观测器参数能够确保包含残差信号的全对称多胞体的P-半径收敛于指定上界;最后通过永磁直流电动机的低频线性模型仿真算例,验证本文故障检测方法的有效性。

     

    Abstract: For discrete-time systems with unknown but bounded noise, the multiplicative fault detection based on zonotopic set-membership estimation is studied. Firstly, a full-dimensional state observer is established to generate residual signals, and the iterative relationship of the center vector and the generated matrix of the residual zonotopes is obtained through the analysis of the filtering error system with the state joint estimation. Secondly, the optimal observer gain with robustness to disturbance and measurement noise which can ensure that the P-radius of the residual zonotope converges to the specified upper bound is obtained by solving the convex optimization problem. Finally, the simulation example of the low-frequency linear model of the permanent magnet DC motor is utilized to verify the effectiveness of the proposed method.

     

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