Optimal Design of SMPMSM Using SD-model based on Genetic Algorithm

被引：0

作者：

Mohd-Shafri, Syauqina Akmar ^{[1
]}

Tiang, Tow Leong ^{[1
]}

Tan, Choo Jun ^{[2
]}

Ishak, Dahaman ^{[3
]}

Ahmad, Mohd Saufi ^{[1
]}

Leong, Jenn Hwai ^{[1
]}

Ong, Hui Lin ^{[4
]}

机构：

[1] Univ Malaysia Perlis, Fac Elect Engn Technol, Perlis, Malaysia

[2] Wawasan Open Univ WOU, Sch Sci & Technol, 54 Jalan Sultan Ahmad Shah, George Town 10050, Malaysia

[3] Univ Sains Malaysia USM, Sch Elect & Elect Engn, Engn Campus, Nibong Tebal 14300, Penang, Malaysia

[4] Univ Malaysia Perlis, Fac Chem Engn Technol, UniMAP, Perlis, Malaysia

来源：

2021 IEEE INTERNATIONAL MAGNETIC CONFERENCE (INTERMAG) | 2021年

关键词：

Genetic Algorithm; analytical SD model; SMPMSM; cogging torque; total harmonic distortions; ANALYTICAL PREDICTION; SUBDOMAIN MODEL; MAGNETIC-FIELD; DIRECT SEARCH; MADS; GA;

D O I：

10.1109/INTERMAG42984.2021.9579622

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper deals with an optimal design of a surface-mounted permanent magnet synchronous machine (SMPMSM) with an exact analytical subdomain model by using a genetic algorithm method. To analyze the characteristic of permanent magnet (PM) motors, the classical optimization method, such as the finite element method (FEM), is intensively used. However, FEM has several time problems that require a longer computational time to evaluate the performance of PM motors. This problem can be overcome by using a genetic algorithm (GA) method combined with a subdomain model (SD), which developed an improved performance of SMPMSM, for instance, total harmonic distortion (THA) and cogging torque. In this design, a three-phase 12-slot/8-pole PM motor is established with an exact SD model with RM and PaM magnetization patterns. Then, the GA ensemble with SD model to search the optimality of SMPMSM machine design. In the final analysis, the optimal new design of SMPMSM demonstrated by comparing with the initial design that is investigated by FEM. The result of induced back-EMF, cogging torque, total harmonic distortion, and magnetic flux density of optimal design is compared with the initial design to show the advantages of GA optimization method.

引用

页数：7

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