Multiobjective Optimization of Single-slide Linear Induction Motors using Kriging Surrogate Model

2019 International Conference on Advanced Electronic Materials, Computers and Materials Engineering

无线电电子学;计算机科学;材料科学

Jin, Hao^1 ; Miao, Xin^1 ; Xiao, Song^2 ; Wang, Fengchao^1 ; Chen, Jian^1

CRRC Qingdao Sifang Co.LTD., Qingdao, China^1

Key Laboratory of Magnetic Suspension Technol Gy and Maglev Vehicle, Ministry of Education, P.R.C, School of Electrical Engineering, Chengdu, China^2

关键词: Electromagnetic devices;    High-power systems;    Kriging surrogate model;    Linear induction motors;    Linear motion;    Numerically controlled machine;    Railway traction;    Surrogate model;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/563/5/052097/pdf
DOI  :  10.1088/1757-899X/563/5/052097

来源: IOP

【 摘 要 】

As electromagnetic devices, linear induction motors can produce powerful linear motion directly, which have been applied to high power system such as railway traction, electrodynamics vibrator, numerically controlled machine. The performance of linear induction motors correlates with the structual parameters of motors nolinearly. In order to pursue better performance of the motors, a highly efficient surrogate model called kriging is implemented to address with the multi-objective optimization for the motors. This paper mainly focuses on optimizing a single-sided linear induction motor in order to improve several objectives of this motor including improving its trust and efficiency as well as losing its weight.