观测器特征向量配置的方法在控制系统故障诊断中的应用

Application of Observer Eigenvector Configuration Method at Control System Fault Diagnosis

本文运用特征值配置的方法设计了一种用于故障诊断的观测器,通过对观测器进行特征向量的配置使得残差与干扰分布方向正交,从而使得故障检验残差与未知输入干扰间的传递函数阵为零,这样就使得残差与干扰直接解耦。通过这种方法,残差信号对干扰具有鲁棒性,使故障诊断算法不受系统不确定性干扰的影响,提高系统故障诊断的可靠性和精度。同时通过残差信号估计故障,能在线辨识故障的形态,数值仿真验证了该方法的有效性。

The observer in this article is designed based on eigenvector assignment aimed at control system having unknown input disturbances. It makes residual orthogonal to disturbances distributed direction through left eigenvector assignment to observer. The transfer function is zero between fault detection residual r and unknown input disturbance. So it makes residual decoupling and robust with disturbance. The fault diagnosis and isolation algorithm is not influenced by the system uncertain disturbances. The reliability and precision of fault diagnosis are improved. Meanwhile it can identify fault shape online through residual estimating fault. The simulation results verify method validity.