Design optimization of an interior-type permanent magnet BLDC motor using PSO and improved MEC

Author

Zhe Ren ; Xu Fang ; Shuhong Wang ; Jie Qiu ; Jian Guo Zhu ; Youguang Guo ; Xiaofeng Yang ; Zhenyu Wang ; Yingke Sun ; Jiunan Zhang

Author_Institution

Xi´an Jiaotong Univ., Xi´an

fYear

2007

fDate

8-11 Oct. 2007

Firstpage

1350

Lastpage

1353

Abstract

In this paper, an improved magnetic equivalent circuit (MEC) is applied to calculate the nonlinear magnetic field in an interior-type permanent-magnet (IPM) brushless DC (BLDC) motor. Compared with the finite element method, the MEC method is much more time efficient, whereas compared with the conventional MEC method, the improved MEC is more accurate since it takes the complicate topological structure of the motor into account. A rough design of the IPM BLDC motor was firstly conducted by the improved MEC method. The particle swarm optimization (PSO) algorithm is then employed to refine the design for optimal structural parameters that result in the lowest cost and highest performance.

Keywords

brushless DC motors; equivalent circuits; particle swarm optimisation; permanent magnet motors; MEC; brushless DC motor; interior-type permanent-magnet BLDC motor; magnetic equivalent circuit; nonlinear magnetic field; particle swarm optimization algorithm; Algorithm design and analysis; Brushless DC motors; Brushless motors; DC motors; Design optimization; Equivalent circuits; Finite element methods; Nonlinear magnetics; Particle swarm optimization; Permanent magnet motors; Interior-type permanent-magnet brushless DC motor (BLDC); magnetic equivalent circuit (MEC) method; particle swarm optimization (PSO) algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems, 2007. ICEMS. International Conference on

Conference_Location

Seoul

Print_ISBN

978-89-86510-07-2

Electronic_ISBN

978-89-86510-07-2

Type

conf

Filename

4412060