Research on the Reconfigurable Implementation of Neural Network Controller Based on FPGA for DC-DC Converters

被引：0

作者：

Shen, Yanxia ^{[1
]}

Li, Tai ^{[1
]}

Ji, Zhicheng ^{[1
]}

机构：

[1] Jiangnan Univ, Sch Commun & Control Engn, Wuxi 214122, Peoples R China

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 2, PROCEEDINGS | 2009年 / 5552卷

关键词：

Neural network; FPGA implementation; Hardware implementation; Reconfigurable design;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A neural network controller for DC/DC buck converters is proposed, and then the hardware implementation problem of the controller based on FPGA is discussed in this paper. The neural network is trained using bp method. The reconfigurable feature is analyzed and then three basic reconfigurable units are built based on SG / Simulink. The simulation results show that the FPGA-based reconfigurable neural network controller can not only achieve good performances but effectively save resources.

引用

页码：1152 / 1159

页数：8

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