摘要
Alopex算法是一种有效的随机优化算法 ,能尽快向最优解方向搜索 .能克服传统启发式易陷入局部最优点的缺点 ,又能克服传统模拟退火法从随机搜索到梯度搜索收敛极为缓慢的不足 .永磁同步电动机的优化问题是多变量、多目标、多极值的隐函数的极值问题 ,将Alopex算法应用于两相永磁同步电动机的设计 ,使电机综合指标得到提高 ,优化结果证明 ,此方法是有效的 。
Alopex algorithm is an effective random optimization algorithm that can search the most optimum answer quickly . The algorithm cam overcome the flaw of some traditional optimization methods that can be easily caught in the local optimization. Because of the complication of motor parameters, Alopex algorithm is successfully applied to the motor optimization. Two-phase permanent magnet synchronized motors get better capability and the appreciative result is achieved by the application of this algorithm.
出处
《沈阳工业大学学报》
EI
CAS
2002年第6期467-469,共3页
Journal of Shenyang University of Technology
基金
辽宁省自然科学基金项目 (972 14 1)
