摘要
以效率为目标函数的铸铝转子异步电机全局优化是一个复杂的非凸、非线性规划问题。首先使用TABU算法将这一高维问题降维分解并缩小搜索域 ,然后使用遗传算法进行全局寻优。验证结果表明 ,该方法充分利用了长期积累的经验知识 ,与单独使用TABU算法或遗传算法相比 ,计算量较为合理 ,结果满意度较高 ,基本满足了高效电机设计的要求。
The optimization design of energy efficient induction machines is a complex nonlinear problem with constraints. To solve the problem, this paper introduces a united random algorithm. At first, the problem is divided into two stages, the optimal rotor slots and the optimization of other dimensions. Before optimize the rotor slots with genetic algorithm (GA), the another stage has been solved with TABU algorithm to simplify the problem. The numerical results show that this method is acceptable for the practical design.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2000年第5期18-21,共4页
Proceedings of the CSEE
基金
河北省自然科学基金项目! ( 5 0 0 0 2 6)
关键词
三相异步电动机
随机算法
全局优化
设计
induction motors
global optimization
TABU search algorithm
genetic algorithm
