Modeling and Simulation of Genetic Fuzzy Controller for L-type ZCS Quasi-Resonant Converter

被引：1

作者：

Ranjani, M. ^{[1
]}

Murugesan, P. ^{[2
]}

机构：

[1] Sathyabama Univ, Dept Elect & Elect Engn, Madras 600119, Tamil Nadu, India

[2] SA Engn Coll, Dept Elect & Elect Engn, Madras 600077, Tamil Nadu, India

来源：

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL | 2014年 / 9卷 / 01期

关键词：

Fuzzy logic controller (FLC); Zero Current Switching Quasi-Resonant Converter (ZCS-QRC); Genetic Algorithm (GA); Integral Absolute Error (IAE); Direct Current (DC);

D O I：

10.15837/ijccc.2014.1.59

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new method of speed control of DC drives using series Quasi-Resonant (QR) Zero current switching (ZCS) DC to DC converters is proposed. It employs a Fuzzy logic controller (FLC) in feedback loop conventionally but due to the advent of new intelligent techniques the FLC are optimized by Genetic algorithm (GA). In this paper the GA optimization technique is applied for speed control of series ZCS-QRC fed drive. The main objective of this work is to obtain reduced transient response, reduced switching stresses and switching losses which in turn enhances the efficiency and commutation capability of motor.

引用

页码：48 / 55

页数：8

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