Evolutionary optimization of power electronics based power systems

被引：2

作者：

Chan, R. R. ^{[1
]}

Sudhoff, S. D. ^{[1
]}

Lee, Y. ^{[2
]}

Zivi, E. L. ^{[2
]}

机构：

[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47906 USA

[2] US Naval Acad, Dept Weap & Syst Engn, Annapolis, MD 21402 USA

来源：

APEC 2007: TWENTY-SECOND ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION, VOLS 1 AND 2 | 2007年

关键词：

D O I：

10.1109/APEX.2007.357552

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper sets forth and demonstrates an approach to the design of power electronics based power systems using evolutionary computing techniques. Key features of the paper are the use of evolutionary computing in the context of conventional control design and the use of multi-objective evolutionary computing in the selection of control parameters based on system performance versus control effort. The proposed approach is demonstrated in a power electronics based power distribution system similar to those being designed for next generation warships.

引用

页码：449 / +

页数：2

共 11 条

[1]

BENAVIDES N, 2001, DESIGN SHIP SERVICE

[2]

Coello C. A. C., 2002, EVOLUTIONARY ALGORIT

[3]

DOYLE A, 2005, THESIS PURDUE U

[4] Fuzzy model reference learning control of induction motor via genetic algorithms [J].

El dessouky, A ;

Tarbouchi, M .

IECON'01: 27TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-3, 2001, :2038-2043

[5]

JUANG JG, P 2004 AM CONTR C JU, P5790

[6]

Krause PC, 2002, ANAL ELECT MACHINERY

[7]

Middlebrook R. D., 1976, IEEE P IASAM

[8]

PEKAREK S, 2003, 13 INT SHIP CONTR SY

[9]

*PURD U SCH EL COM, 2003, ANN RES SUMM

[10]

*PURD U SCH EL COM, 2005, GEN OPT SYST ENG TOO

← 1 2 →