首页> 外文会议>Asia-Pacific Conference on Simulated Evolution and Learning(SEAL'2002); 20021118-22; Singapore(SG) >DESIGN OPTIMIZATION OF PERMANENT MAGNET SYNCHRONOUS MACHINE USING GENETIC ALGORITHMS
【24h】

DESIGN OPTIMIZATION OF PERMANENT MAGNET SYNCHRONOUS MACHINE USING GENETIC ALGORITHMS

机译:基于遗传算法的永磁同步电机设计优化

获取原文
获取原文并翻译 | 示例

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.
机译:在本章中,已使用遗传算法优化了100 kW和100,000 rpm表面安装型永磁同步电机的设计。机器的效率和功率密度已作为目标函数。使用权重比方法形成了第三个目标函数,使效率和功率密度相等。使用常规公式已经考虑了各种电气,机械和热约束。已经讨论了效率和比功率随速度(在固定输出功率下)和输出功率(在固定速度下)的变化。将结果与使用基于内部罚函数法的顺序无约束最小化技术(SUMT)获得的结果进行了比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号