@inproceedings{2f551459e12747ac95582f5f90e34605,
title = "Time efficient conducted EMI prediction for a flyback converter with control optimization by genetic algorithm",
abstract = "Most conducted EMI prediction for switching mode power supply adopts time domain simulation, the transient process establishing the output voltage takes large part of the simulation time. The appropriate control parameters can reduce the system overshoot and adjustment time, thus shorten the simulation time. Take the flyback converter as the research object, the genetic algorithm (GA) with global optimization advantage is used to optimize the classical PID control parameters. The simulation results show that the optimized PID control has lower overshoot and adjustment time than the traditional PID control, shortens the simulation time effectively while maintaining the accuracy of conducted EMI prediction.",
keywords = "Conducted EMI, Flyback converter, Genetic algorithm, PID control, Simulation time",
author = "Biao Xiao and Pan Wang and Jinming Wan and Yingyu Zeng and Zhaowen Yan",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 6th IEEE International Symposium on Electromagnetic Compatibility, ISEMC 2019 ; Conference date: 01-11-2019 Through 04-11-2019",
year = "2019",
month = nov,
doi = "10.1109/ISEMC48616.2019.8986029",
language = "英语",
series = "IEEE International Symposium on Electromagnetic Compatibility",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE 6th International Symposium on Electromagnetic Compatibility, ISEMC 2019 - Conference Proceedings",
address = "美国",
}