【文件属性】：
文件名称：Intelligent design of induction motors by multiobjective fuzzy
文件大小：614KB
文件格式：PDF
更新时间：2014-12-18 17:18:24
Genetic algorithm
In this paper an approach using multi-objective
fuzzy genetic algorithm (MFGA) for optimum design of
inductionmotors is presented. Single-objective genetic algorithm
optimization is compared with the MFGA optimization.
The efficiency of those algorithms is investigated on
motor’s performance. The comparison results show that
MFGA is able to find more compromise solutions and is promising
for providing the optimum design. Besides, a design
tool is developed to evaluate and analysis the steady-state
characteristics of induction motors.