| Title |
Optimal Design of SR Machine for LSEV using CAD and Genetic Algorithm |
| Authors |
김태형(Kim Tae-Hyoung) ; 안진우(Ahn Jin-Woo) |
| Keywords |
Optimal Design Method ; SRM ; GA |
| Abstract |
Advantages of switched reluctance motor(SRM) include a simple structure, the ability of operation in hash environments and under partial hardware failures, and a wide speed range. However design of SRM for industrial applications is very difficult because motor's inherent none-linearity and sensitivity of design parameter. In this paper, an optimal method for determining design parameters of a switched reluctance motor is researched. The dominant design parameters are stator and rotor pole arc and switching on and off angle. The parameters affecting performance are examined and selected using evolutionary computations and commercial CAD Program. The proposed design process is very fast. reliable and easy to access. The simulated design method proposed is compared with conventional procedure. |