A study on the efficiency optimum design of a permanent magnet type linear synchronous motor

• Published in: IEEE transactions on magnetics Vol. 41; no. 5; pp. 1860 - 1863
• Main Authors: LEE, Dong-Yeup, JUNG, Chun-Gil, YOON, Kang-Jun, KIM, Gyu-Tak
• Format: Journal Article Conference Proceeding
• Language: English
• Published: New York, NY IEEE 01.05.2005; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cross-disciplinary physics: materials science; rheology; Design engineering; Distortion factor of thrust; Equations; Exact sciences and technology; Finite element method; Finite element methods; Magnetic analysis; Magnetism; Materials science; Mathematical analysis; Minimization; neural network; Neural networks; optimal design of efficiency; Optimization; Other topics in materials science; Permanent magnets; Physics; Prototypes; Ripples; Solid modeling; Synchronous motors; Thrust; Voltage; voltage source finite element analysis (FEA); Design; Finite element method; Efficiency; Neural networks; Distortion factor of thrust; Distortion; Magnetism; Modelling; Artificial intelligence; neural network; optimal design of efficiency; voltage source finite element analysis (FEA)
• ISSN: 0018-9464; 1941-0069
• DOI: 10.1109/TMAG.2005.846466

In this paper, for the characteristic analysis of permanent magnet linear synchronous motor, voltage source finite element analysis, i.e., the combination of a finite element method and circuit equation is applied. A neural network is applied for the minimization of thrust ripple and the optimization of efficiency. Efficiency is increased 2% and thrust ripple ratio is decreased from 1.2% to 0.93%. So, a satisfactory design improving the control ability and efficiency is achieved conclusively.