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基于模糊神经网络的中频感应加热电源的研究

吴延华 娄丽丽 索红亮

机械制造与自动化Issue(3):110-112,3.
机械制造与自动化Issue(3):110-112,3.

基于模糊神经网络的中频感应加热电源的研究

Fuzzy Neural Network Based on Medium Frequency Induction Heating Power Supply

吴延华 1娄丽丽 1索红亮1

作者信息

  • 1. 黑龙江科技学院电气与信息工程学院,黑龙江哈尔滨,150027
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摘要

Abstract

Based on temperature control method analysis of the original Induction heating power supply,this paper puts forward a temperature control method suitable for nonlinear system and based on fuzzy neural network. Compared with the traditional control strategy ,the fuzzy neural network control has the advantages of not relying on control precise mathematical model of control object,strong robustness and easy control. The experiment shows that the heating method is superior to the conventional PID and fuzzy PID.it can be used to obtain good dynamic characteristics of high precision,wide range of power adjustment and stable and reliable operation.

关键词

感应加热/模糊神经网络/DSP/温度控制

Key words

induction heating/fuzzy neural network/ DSP/ temperature control

分类

机械制造

引用本文复制引用

吴延华,娄丽丽,索红亮..基于模糊神经网络的中频感应加热电源的研究[J].机械制造与自动化,2011,(3):110-112,3.

机械制造与自动化

OACSTPCD

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