基于数字孪生的Buck电路故障诊断方法

针对Buck电路故障诊断方法存在计算量大和准确率低等问题,提出了一种基于数字孪生的Buck电路故障诊断方法。首先,通过Matlab/Simulink软件平台建立Buck电路的数字孪生模型,并根据Buck电路元器件标称值设置数字孪生模型初始参数;然后,将采集的Buck电路输出电压信号及运行状态映射到数字孪生模型中,根据数字孪生模型与Buck电路的输出电压建立目标函数,并利用Levenberg-Marquart算法迭代优化目标函数,实现数字孪生模型的更新,最终实现Buck电路元器件参数估计;最后,比较数字孪生模型得到的参数估计值与Buck电路元器件标称值,若二者之差超过标称值20%,表明元器件失效,从而实现Buck电路故障诊断。实验结果表明,该方法对Buck电路元器件参数具有较高的估计精度与诊断可靠性。

Buck circuit fault diagnosis method based on digital twin

In order to address the problems of large calculation and low accuracy of Buck circuit fault diagnosis methods,a buck circuit fault diagnosis method based on digital twin is proposed.Firstly,the digital twin model of Buck circuit is established by Matlab/Simulink software platform,and the initial parameters of the digital twin model are set according to the nominal values of Buck circuit components.Secondly,the acquired Buck circuit output voltage signal and operation state are mapped into the digital twin model,and the objective functionsare established according to the digital twin model and the output voltage of Buck circuit.The Levenberg-Marquart algorithm is used toiterate and optimize the objective functions to achieve the digital twin modelupdate so as to realize the parameter estimation of Buck circuit components.Finally,the estimated parameters obtained from the digital twin model are compared with the nominal values of Buck circuit components.When the difference between the two exceeds 20%of the nominal values,it is indicated that the component is invalid and the Buck circuit fault diagnosis is obtained.The experimental results show that the proposed method has high estimation accuracy and diagnostic reliability for Buck circuit component parameters.