Derivation of Fuzzy Controller for DC/DC Converters Using Neural Networks

W. C. So; C. K. Tse

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Derivation of Fuzzy Controller for DC/DC Converters Using Neural Networks

机译：基于神经网络的DC / DC变换器模糊控制器的推导

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The problem of designing fuzzy logic controllers for DC/DC converters involves determining the fuzzy rules, the associated antecedent membership functions and consequent membership functions. This paper presents a methodology of using neural networks to adjust the shapes and locations of the membership functions so that a well-trained fuzzy control rule set can be obtained. This method can eliminate heavy computation which is usually required for multi-variable control.

机译：为DC / DC转换器设计模糊逻辑控制器的问题涉及确定模糊规则，相关的先前隶属度函数和随后的隶属度函数。本文提出了一种使用神经网络来调整隶属函数的形状和位置的方法，从而可以获得训练有素的模糊控制规则集。这种方法可以消除通常需要多变量控制的繁重计算。

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来源
《Journal of Electrical & Electronics Engineering, Australia》 |1996年第2期|p.85-90|共6页
作者
W. C. So; C. K. Tse;
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作者单位

Department of Electronic Engineering, Hong Kong Polytechnic University, Hong Kong;

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原文格式 PDF
正文语种 eng
中图分类电工基础理论;
关键词
neural networks; fuzzy control; fuzzy controller; function control; DC/DC converters;

机译：神经网络;模糊控制;模糊控制器;功能控制;DC / DC转换器;
入库时间 2022-08-18 01:10:07

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Derivation of Fuzzy Controller for DC/DC Converters Using Neural Networks

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