Experimental design and genetic algorithm optimization of a fuzzy-logic supervisor for embedded electrical power systems

被引：13

作者：

Breban, Stefan ^{[1
,2
,3
]}

Saudemont, Christophe ^{[1
,2
]}

Vieillard, Sebastien ^{[4
]}

Robyns, Benoit ^{[1
,2
]}

机构：

[1] Univ Lille Nord France, Lille, France

[2] Ecole Hawes Etud Ingn HEI, Lille L2EP, Lille, France

[3] Tech Univ Cluj Napoca, Cluj Napoca, Romania

[4] Hispano Suiza Grp SAFRAN, Reau, France

来源：

MATHEMATICS AND COMPUTERS IN SIMULATION | 2013年 / 91卷

关键词：

Embedded electrical power system; Energy storage; Fuzzy logic; Optimization; Experimental design; Genetic algorithm; STRATEGIES;

D O I：

10.1016/j.matcom.2012.06.003

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The embedded power systems are nowadays developing at high pace. Hybrid-electric vehicles, full-electric vehicles, airplanes, ships, high-speed trains, all share a common point - the embedded electrical power system. This paper aims to present an optimization methodology of a fuzzy-logic supervision strategy. The optimization objectives are to minimize the DC-link voltage variations, and to increase the system efficiency by reducing the dissipated power. For that, a methodology involving the experimental design and genetic algorithm will be presented. The simulation and experimental results are validating the proposed procedure. (C) 2012 IMACS. Published by Elsevier B.V. All rights reserved.

引用

页码：91 / 107

页数：17

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