中文摘要：

介绍了一种可有效检测而且能估计出高压直流输电（HVDC）系统中故障的方法。首先根据HVDC系统模型，构建故障观测器，形成广义残差模型。然后通过线性矩阵不等式（LMI）的方法，将HVDC故障检测问题转化为鲁棒稳定性分析问题，并给出了解存在的LMI条件和求法。为有效地对检测出的故障进行分类，建立了一种基于迭代学习算法的新型故障诊断滤波器，可估计出HVDC系统中发生的故障，从而达到对其进行分类的目的。仿真结果验证了文中所提出的算法能有效检测出发生的故障，且对不同的故障能正确地分类。

英文摘要：

This paper proposes a novel method for the HVDC system, which can detect the system fault and, more importantly, diagnose the HVDC fault function. First of all, a fault detecting filter is constructed to detect the system faults. Based on the LMI approach, the design of the fault detecting filter problem can he transformed into a problem for system robust Stability analysis. In order to classify the detected HVDC faults, a novel iterative-learning-algorithm-based fault observer is developed to diagnose the HVDC system faults. The simulation results indicate the effectiveness and efficiency of the approach proposed.