Improved large signal performance of linear controlled input-series and output-parallel dc-dc converter using genetic algorithm optimization

被引:0
作者
Khazraei, S. M. [1 ]
Jasour, A. M. Z. [1 ]
Rahmati, A. [1 ]
Abrishamifar, A. [1 ]
机构
[1] Iran Univ Sci & Technol, Tehran, Iran
来源
OPTIM 2008: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON OPTIMIZATION OF ELECTRICAL AND ELECTRONIC EQUIPMENT, VOL III | 2008年
关键词
current sharing; input voltage sharing; input-series and output-parallel connected converter (ISOP); genetic algorithm; non-optimized controllers; optimized controllers;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
An input-series and output-parallel (TSOP) connected converter is one of the recently developed multi-module converters. The suitable control scheme for this type of converter necessitates equal voltage sharing for input-series connected modules and output current sharing for the output-parallel connected modules for all operating conditions even with existence of dissimilarity in devices and components used in each module. Such control scheme consisting of several controllers can be implemented using analog controllers. This paper presents a genetic algorithm (GA) which optimizes the parameters of analog controllers for each control loop in the control scheme of an ISOP connected converter. Using CA eliminates the need for tedious and time consuming small signal analysis of multi-module converters. Moreover, because CA chooses the best value for each parameters in different control loops simultaneously it can best consider the interaction among all loops and results in better large signal performance especially in the case of large variations in the parameters or considerable difference among modules of converter.
引用
收藏
页码:31 / 36
页数:6
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