High Efficiency Drive of SRM with Neural Network and Genetic Algorithms

신경회로망과 GA를 이용한 SRM의 고효율운전에 관한 연구

The switched reluctance motor(SRM) drive system provides a good adjustable speed characteristics. However higher torque ripple are one of the few disadvantages of the SRM drives. The SRM would have to operated with an MMF waveform specified for switching angle and phase voltage. This paper proposes control modelling method using ANN(Artificial Neural Network) and GA(Genetic Algorithm) that are used to control switch-on angles and input voltage.