文件名称：Intelligent design of induction motors by multiobjective fuzzy
文件大小：614KB
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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.