| Summary: | 碩士 === 高苑科技大學 === 電機工程研究所 === 101 === The main purpose of this thesis is to optimal design and implementation of an axial-flux permanent magnet starter/generator for performance, however, the geometric structural parameters of an axial-flux permanent magnet machine, such as the diameter of the rotor magnet, the stator coil, the rotor magnet thickness and the air gap width, will affect obviously the efficiency of an axial-flux permanent magnet starter/generator. In order to find the most suitable combination of the geometry parameters of an axial-flux permanent magnet starter/generator machine to achieve the goal of robust design, two systematic and efficient approaches, such as the fuzzy-inference Taguchi method and the response surface methodology with quantum-behaved particle swarm optimization (QPSO), are employed. Moreover, the JMAG-Designer 10.5 electromagnetic analysis software is as platform of the electric machine design and dynamic performance analysis with the finite element analysis (FEA). Results demonstrate that the proposed method can obtain the best combination of the geometry parameters in an axial-flux permanent magnet starter/generator to achieve high torque and efficiency.
|
|---|
