Multi-Objective Design Optimization of a Single-sided Axial Flux Permanent Magnet Machine

Authors

Xu Yang, University of Nebraska-LincolnFollow
Dean Patterson, University of Nebraska-LincolnFollow
Jerry Hudgins, University of Nebraska-LincolnFollow

Date of this Version

2013

Citation

2013 International Conference on Electrical Machines and Systems 2013

Comments

Coyright IEEE 2013 Used by permission

Abstract

This paper presents an optimal design approach for a single-sided axial flux permanent magnet (AFPM) machine. A multi-objective differential evolution based optimization algorithm is implemented, which is to maximize the output torque density (Nm/kg) and efficiency. Design constraints including geometrical and operating limits are considered. Total of seven independent variables are employed in the design. Optimization results are compared with a prototype design.