机械制造与自动化Issue(5)：202-205,4.DOI:10.19344/j.cnki.issn1671-5276.2017.05.052
一款基于BP神经网络的反激变换器设计
Design of Flyback Converter Based on BP Neural Network
董华 1刘宽 1李祥1
作者信息
- 1. 华南理工大学 电力学院,广东 广州510640
- 折叠
摘要
Abstract
This paper designs a flyback converter based on BP neural network control. The input voltage is taken as input value in the network and a PWM duty rate signal is gotten in the network to control the power switch. The simulation result indicates that the fly-back converter can be used to keep the output of the voltage steady when the input voltage changes from 95 V to 65V. The structure of the control circuit with high efficiency is simple. And it also indicates the advanfages of intelligent and self-adaption control in power electronic area.关键词
反激变换器/BP神经网络/PWM占空比/动态响应Key words
flyback converter/BP neural network/PWM duty circle/dynamical response分类
信息技术与安全科学引用本文复制引用
董华,刘宽,李祥..一款基于BP神经网络的反激变换器设计[J].机械制造与自动化,2017,(5):202-205,4.
