In this paper, the problem of fault detection and identification for DC‐DC converters is presented. First, switched systems model and fault model are analyzed based the switched characteristics of the DC‐DC converters, taking the DC‐DC buck converter as an example. According to the switched Lyapunov function technique, a fault detection observer and a bank of linear switched fault identification observers are designed for the switched systems. Next, the fault detection observer detects the fault based on the residual produced by the observer output and actual output. After the fault is detected, fault identification observers are activated. The location of fault is identified by comparing the residual evaluation functions. Meanwhile, the adaptive parameter identification is achieved by choosing an appropriate adaptive law. Finally, in order to show the feasibility of the fault detection and identification, the simulation results are given in this article.

中文翻译：

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通过开关系统对DC-DC转换器进行可靠的故障检测和自适应参数识别

本文提出了DC-DC转换器的故障检测和识别问题。首先，以DC-DC降压转换器为例，根据DC-DC转换器的开关特性分析开关系统模型和故障模型。根据交换Lyapunov函数技术，为交换系统设计了故障检测观察器和一组线性交换故障识别观察器。接下来，故障检测观察器根据观察器输出和实际输出产生的残差来检测故障。检测到故障后，将激活故障识别观察器。通过比较残差评估函数来确定故障的位置。同时，通过选择适当的自适应律来实现自适应参数识别。最后，