A NOVEL NEURAL-NETWORK BASED CURRENT CONTROL SCHEME FOR A THREE-LEVEL CONVERTER

  • Choi, J.Y. (Korea Institute of Science and Technology) ;
  • Song, J.H. (Korea Institute of Science and Technology) ;
  • Choy, I. (Korea Institute of Science and Technology) ;
  • Gu, S.W. (Korea Railroad Research Institute) ;
  • Huh, S.H. (Electrical Eng. Dept of Korea University)
  • Published : 1997.07.01

Abstract

This paper present the design of a novel neural-network (NN) based pulse-width modulation (PWM) techniques for a three-level power converter of electric trains along with nonlinear mapping of essential switching patterns and fault tolerance, which are inherent characteristics of NNs. Considering the importance of safety, power factor and harmonics of electric train power converters, two-level type and three-level type of power converters using NNs are precisely investigated and compared in computer simulation. A computer simulation shows that a new current control scheme provides an improved performance over a fixed-band hysteresis current control in many aspects.

Keywords