Affiliations: School of Automation Science and Electrical Engineering, BeiHang University, Beijing 100191, China
Correspondence:
[*]
Corresponding author: Xiaofeng Ding, School of Automation Science and Electrical Engineering, BeiHang University, Beijing 100191, China. Tel./Fax: +86 10 8233 9498; E-mail:dingxiaofeng@buaa.edu.cn
Abstract: This paper presents an optimal design of an axial flux
mircoelectromechanical systems (AF-MEMS) micromotor with enhanced power
density and efficiency. The micromotor is characterized with dual-rotor and
external diameter only around 10 mm. The characteristics of the MEMS
micromotor are presented and modeled for optimization design. With the
simple but powerful population-based stochastic search technique for solving
global optimization problems, the differential evolution (DE) algorithm is
adopted for the optimization design of this special motor. Furthermore,
according to the characteristics of the micromotor, such as nonlinear, small
size and different convergences of optimal variables, a constraint matrix
(CM) and a depth search (DS) are proposed to enhance the conventional DE.
Such improved DE is beneficial for the search efficiency and accuracy
according to calculation results whilst giving an optimal motor with high
power density and high efficiency. Experiments and 3D finite element
analysis (FEA) are employed to analyze the optimized micromotor and verify
the feasibility of the proposed DE.
Keywords: An axial flux microelectromechanical systems (AF-MEMS), differential evolution (DE), power density, efficiency, finite element analysis (FEA)
