Abstract
This paper presents an inside-out axial-flux permanent-magnet brushless DC motor optimized by Finite Element Analysis (FEA) and Genetic Algorithm (GA) based sizing equation. The TORUS motor of the slotted-stator design comprises sinusoidal back-EMF waveform and maximum power density. The GA attained the dimensions which provided the motor with the highest power density. Electromagnetic field analysis of the candidate motor from GA with various dimensions was then put through FEA in order to obtain and re-optimize the motor's characteristics. Possible design parameters were investigated by putting Commercial Vector Field Opera 14.0 software through a three-dimensional FEA simulation and using MATLAB 2010a for GA programming. Techniques like modifying winding configuration and skewing permanent magnets were investigated to attain the most-sinusoidal back-EMF waveform and reduced cogging torque. The desired technical specifications were matched according to the 3D FEA and GA simulation results. FEA and GA simulation results compared and agreed well to the flux density in different areas of the designed motor at no-load condition.
| Original language | English |
|---|---|
| Pages (from-to) | 3814-3827 |
| Number of pages | 14 |
| Journal | International Review of Electrical Engineering |
| Volume | 7 |
| Issue number | 2 |
| Publication status | Published - 1 Jan 2012 |
| Externally published | Yes |
Keywords
- Axial-flux permanent-magnet motor
- Finite element analysis
- Genetic algorithm
- Sizing equation
- TORUS