Optimal design of SMPMSM using Genetic Algorithm based on Finite Element Model

Mohd-Shafri S.A.; Tiang Tow Leong; Ishak D.; Tan C.J.; Mohd Saufi Ahmad; Leong J.H.; Ong Hui Lin

Optimal design of SMPMSM using Genetic Algorithm based on Finite Element Model

Journal

Lecture Notes in Electrical Engineering

ISSN

18761100

Date Issued

2022-01-01

Author(s)

Mohd-Shafri S.A.

Tiang Tow Leong

Universiti Malaysia Perlis

Ishak D.

Tan C.J.

Mohd Saufi Ahmad

Universiti Malaysia Perlis

Leong J.H.

Ong Hui Lin

Universiti Malaysia Perlis

DOI

10.1007/978-981-16-8129-5_110

Handle (URI)

https://hdl.handle.net/20.500.14170/5114

Abstract

This paper deals with an optimal design of a surface-mounted permanent magnet synchronous machine (SMPMSM) using a genetic algorithm (GA) method. To analyze the characteristic of permanent magnet (PM) motors, the classical optimization method, such as the finite element method (FEM), is intensively used. In this design, a three-phase 12-slot/8-pole PM motor is established with FEM with radial magnetization pattern. Then, the GA is used to search the optimality of SMPMSM machine design. In the final analysis, the optimal new design of SMPMSM is demonstrated by comparing it with the initial design that is investigated by FEM. The result of induced back-EMF, total harmonic distortion, and magnetic flux density of optimal design are compared with the initial design to show the advantages of GA optimization method.