Nonlinear Optimized Modeling of Electromagnetic Pulse Coupling in Electrostatic Discharge
Yan-Bin Cao · Gaoya dianqi · 2012
For the problem that the computing process of electromagnetic pulse response in the existing mechanism modeling algorithms is very complex,a radiation experiment of electrostatic discharge for pulse field sensor is designed in order to offer a simple but effective method for computing electromagnetic pulse response of electronic devices.In the modeling,NARX Neural Network(NN NARX) is substituted for the conventional NARX network,and the layer weight matrices and bias vectors are optimized by genetic algorithm(GA).Two models are built and trained on the basis of the 3.5 kV electrostatic discharge experiment data to identify the dynamic characteristics of the system.The electromagnetic pulse response of 4.5 kV electrostatic discharge is predicted by using the models,and the results show that both optimized NN NARX model and conventional NARX model can predict the response wave accurately through comparing the predicted response with the measured data,but the model optimized with NN NARX performs better.The proposed modeling method is easy in use,and also suitable for modeling of other electromagnetic pulse responses.