基于Kriging代理模型的直线感应电机多目标优化设计  

Multiobjective Optimum Design of Linear Induction Motor Using Kriging Surrogate Model

作　　者：孔令星[1,2] 肖嵩 郭小舟[1,2] KONG Lingxing1,2, XIAO Song1,2, GUO Xiaozhou1,2(1. Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle Ministry of Edueation, Chengdu 611756, China ; 2. School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, Chin)

机构地区：[1]磁浮技术与磁浮列车教育部重点实验室,成都611756 [2]西南交通大学电气工程学院,成都611756

出　　处：《微电机》2018年第7期12-15,共4页Micromotors

摘　　要：代理模型方法由于能显著提高工程优化设计问题的效率,在各工程优化领域得到了广泛重视,并逐渐发展成为一类优化算法。在现有的代理模型方法中,源于地质统计学的Kriging模型具有代表性,是一种非常具有应用潜力的代理模型方法,然而目前仅有少数研究学者将其应用在电机设计这一领域。Since the surrogate model method can significantly improve the efficiency of engineering design,it has been widely considered in various engineering optimization fields and gradually developed into a class of optimization algorithms. Among the existing surrogate model methods,the kriging surrogate model originating from geostatistics is a representative optimization method with potential applications. However,only a few researchers apply it to the field of motor design. In this paper,the equivalent circuit of the linear induction motor was firstly introduced,then the optimization framework of the kriging surrogate model was described,finally the kriging optimization method was adopted to optimize the linear induction motor.

关 键 词：KRIGING 代理模型 直线感应电机设计 多目标优化 

分 类 号：TM346[电气工程—电机] TM359.4