Adaptive fuzzy logic controller for DC-DC converters

被引：77

作者：

Elmas, Cetin ^{[2
]}

Deperlioglu, Omer ^{[1
]}

Sayan, Hasan Huseyin ^{[2
]}

机构：

[1] Afyon Kocatepe Univ, Fac Tech Educ, Dept Elect & Comp, TR-03300 Afyon, Turkey

[2] Gazi Univ, Fac Tech Educ, Dept Elect, TR-06500 Ankara, Turkey

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2009年 / 36卷 / 02期

关键词：

DC-DC converters; Fuzzy logic controller; Adaptive fuzzy logic controller; IMPLEMENTATION; MODEL;

D O I：

10.1016/j.eswa.2007.11.029

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper introduces a complete design method to construct an adaptive fuzzy logic controller (AFLC) for DC-DC converter. Ill a conventional fuzzy logic controller (FLC), knowledge oil the system supplied by all expert is required for developing membership functions (parameters) and control rules. The proposed AFLC, oil the other hand, do not required expert for making parameters and control rules. Instead, parameters and rules are generated using a model data file, which contains summary of input-output pairs. The FLC use Mamdani type fuzzy logic controllers for the defuzzification strategy and inference operators. The proposed controller is designed and verified by digital computer simulation and then implemented for buck, boost and buck-boost converters by using all 8-bit microcontroller. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：1540 / 1548

页数：9

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