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

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.