基于强跟踪滤波器的开关变换器故障诊断

Buck变换器又称降压变换器、串联开关稳压电源、三端开关型降压稳压器。广泛用于计算机、家用电器、控制系统和通信系统中的电源几乎都是开关电源,具有超快速负载动态响应、高功率变换效率、高功率密度、低电压、大电流的特性.开关变换器作为它的主要电路,故障率较高,对它故障诊断研究是有意义的。基于强跟踪滤波理论,给出了一种开关变换器电路故障实时诊断的一种方法。该方法以建立一种开关变换器电路状态空间模型为基础,利用强跟踪滤波器对电路状态及元件参数进行估计,当元件参数发生软、硬型故障时,根据强跟踪滤波器对元件参数的跟踪结果及修正的Bayes分类算法,可实时诊断开关变换器电路中的元件故障。仿真结果证明了该方法的有效性。

Strong Tracking Filter Based Switching Converter Fault Diagnosis

Buck converter is also known as step-down converter,or series switching power supply,or three-terminal switching step-down regulator.The widely used power supply system in computers,home appliances,control systems and communication systems are almost all of power switching system,with ultra-fast load dynamic response,high power conversion efficiency,high power density,low voltage and high current.Switching converter is its main circuit.But its failure rate is high,it makes sense to fault diagnosis.Strong tracking filter based on the theory gives a real-time switching converter circuit fault diagnosis methods.The method to build a switching converter circuit state space model,using strong tracking filter components on the circuit parameters of the state and to estimate the parameters occurs when the device software and hardware-based fault,strong tracking filter based on the device parameters tracking results and modified Bayes classification algorithm,switching converter circuit component can be real-time diagnosed.Simulation results show the effectiveness of the method.