Design optimization of permanent magnet synchronous machine using genetic algorithms

被引：0
|
作者：
Gupta, RK [1 ]
Muta, I [1 ]
Gouthaman, G [1 ]
Bhattacharjee, B [1 ]
机构：
[1] Bhabha Atom Res Ctr, Machine Dynam Div, Bombay 400085, Maharashtra, India
来源：
Recent Advances in Simulated Evolution and Learning | 2004年 / 2卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this chapter, design of a 100 kW and 100,000 rpm surface mounted type Permanent Magnet synchronous machine has been optimized using Genetic Algorithms. The efficiency and power density of the machine have been taken as objective functions. A third objective function has been formed using weightage ratio method, giving equal weightage to both efficiency and power density. Various electrical, mechanical and thermal constraints have been taken into account using conventional formulae. Variation of efficiency and specific power with speed (at fixed output power) and with output power (at fixed speed) has been discussed. The results have been compared with that obtained using Sequential Unconstrained Minimization Technique (SUMT) based on the interior penalty function method.
引用
收藏
页码：526 / 541
页数：16
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