ARTIFICIAL NEURAL NETWORK BASED SPACE-VECTOR PWM INVERTER | ||
| ERJ. Engineering Research Journal | ||
| Article 2, Volume 31, Issue 3, July 2008, Pages 245-249 PDF (234.14 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/erjm.2008.69542 | ||
| Author | ||
| Iinadeddin A. Abdalla | ||
| Department of Electrical and Electronic Engineering University of Garyounis | ||
| Abstract | ||
| In this paper, a neural network is designed and learned to accommodate the SVPWM switching method. The selection of SVPWM (digital PWM method) as ANN application was chosen because it is nonlinear problem and more sophisticated problem multilevel inverters. The ANN will be given good results in the real time systems. The learning of neural network was backpropagation method, and the neural network onrput is used to gating the inverter switches, fmally obtained intelligent inverter that responds to any new parameters another of that used. to learning it: Neural network design, learning, inverter output, and harmonic analysis are accomplished by using CU language. The obtained results are verified by comparison with SVPWM inverter. The ANN invmer gives very satisfied results according to the inverter criterions. | ||
| Keywords | ||
| ANN; SVPWM; digital PWM; harmonic analysis | ||
|
Statistics Article View: 111 PDF Download: 170 |
||
