Title :
Design of HTS Linear Induction Motor using GA and the Finite Element Method
Author :
Zhao, Jia ; Zhang, Wei ; Fang, Jin ; Yang, Zhongping ; Zheng, Trillion Q. ; Liu, Youmei
Author_Institution :
Sch. of Electr. Eng., Beijing Jiaotong Univ., Beijing, China
Abstract :
This paper presents the application of Genetic Algorithm (GA) and the Finite Element Method (FEM) for optimal design of a High Temperature Superconducting Linear Induction Motor (HTS LIM). The design procedure is much different from that of traditional Linear Induction Motors (LIMs). First, the GA method is used to produce a series of optimal design data. The product of efficiency and power factor is taken as an objective function in order to maximize the product under a constant current drive; second, due to the new and unique structure the model of the motor using the optimal data should be analyzed with the finite element method in order to confirm the accuracy of the model. As a result, it is known that the novel method is very accurate as an HTS LIM optimization technique.
Keywords :
finite element analysis; genetic algorithms; high-temperature superconductors; linear induction motors; machine theory; power factor; HTS LIM optimization technique; HTS linear induction motor design; constant current drive; finite element method; genetic algorithm; high temperature superconducting linear induction motor; objective function; power factor; Algorithm design and analysis; Finite element methods; Genetic algorithms; High temperature superconductors; Induction motors; Iron; Magnetic cores; Reactive power; Superconducting coils; Superconducting filaments and wires; Design; Finite Element Method; Genetic Algorithm; HTS Linear Induction Motor;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on
Conference_Location :
Taichung
Print_ISBN :
978-1-4244-5045-9
Electronic_ISBN :
978-1-4244-5046-6
DOI :
10.1109/ICIEA.2010.5517100
