Artificial neural network modeling of electromagnetic interference caused by nonlinear devices inside a metal enclosure

Abstract

The artificial neural network (ANN) modeling of electromagnetic interference from a nonlinear device connected with transmission lines exposed to electromagnetic field to the linear device inside a metal enclosure is investigated in this paper. A rectangular loop antenna operating at 2.5 GHz is used to excite electromagnetic field inside an enclosure with dimension 99 × 49 × 44 cm³. Another wideband loop antenna welded with a HSMS-282C Schottky diode pair is used as the nonlinear device connected with the transmission line in order to enhance the coupling and radiating effects inside the enclosure. The linear devices are three monopole probes connected with spectrum analyzer to measure the output power. Experimental results show that the output power from probes near the wideband loop welding with a pair of diodes contains not only fundamental but harmonic components, which are caused by the nonlinear response of diodes excited by induced current. A three-layer ANN model is proposed to predict this nonlinear electromagnetic interference inside the metal enclosure. Results show that the trained BL-MLP model using 576 measured data can predict the response of probes (linear device) interfered by the loop antenna welding with diodes (nonlinear device) inside the cavity well.

Keywords:

• electromagnetic disturbance
• metal enclosure
• nonlinear
• BP-MLP modeling

Acknowledgment

The authors would like to thank engineer Yue Zhuo for his kind help with all the measurements.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by NSAF [grant number 11176017] and 973 Program [grant number 2013CB328904].