Modeling and Optimization of EMI Filter by Using Artificial Neural Network

In power electronic devices, high-speed switching often causes serious electromagnetic interference (EMI) problems. For compliance with electromagnetic compatibility standards, EMI filters are widely used. This article develops an efficient modeling and optimization method of EMI filter by employing artificial neural network (ANN). A partly connected ANN, which is accurate and time saving in training procedure, is proposed to model an EMI filter. Moreover, genetic algorithm and the EMI filter model based on the partly connected ANN are applied to optimizing the EMI filter. Through comparing simulated and measured results of insertion loss of EMI filter, the proposed modeling and optimization method is validated. Compared to equivalent circuit model and electromagnetic model, the proposed method can establish a more accurate EMI filter model and can optimize the design of the EMI filter more efficiently.