Artificial neural network based PWM scheme for a quasi six-phase voltage source inverter

Author

Jamil, M.S. ; Khan, Muhammad Asad ; Iqbal, Azlan ; Moinuddin, Shaikh

Author_Institution

Dept. of Math & Comput., Qatar Univ., Doha, Qatar

Volume

1

fYear

2012

fDate

12-14 June 2012

Firstpage

429

Lastpage

434

Abstract

Multi-phase motor drive system are increasingly used due to their inherent advantages. Several topologies are investigated in the literature for multi-phase drive system. The most popular among them are five-phase and six-phase. In six-phase system two topologies exist. In one topology, the windings or phases are 60 degrees apart and called symmetrical six-phase system. The second topology has two sets of three-phases and is displaced by 30 degrees. This is called quasi-six-phase or dual three-phase. In this paper, Pulse Width Modulation (PWM) technique is described for a quasi six-phase voltage source inverter (VSI). The output of the inverter is two set of three-phases with 30 phase displacement. The proposed PWM is based on the artificial neural network concept. ANN method of PWM is highly useful for high switching frequency operation. Simulation results are provided to validate the proposed theory.

Keywords

PWM invertors; machine windings; motor drives; neural nets; power engineering computing; ANN method; PWM scheme; PWM technique; VSI; artificial neural network; high switching frequency operation; multiphase motor drive system; pulse width modulation technique; quasisix-phase voltage source inverter; symmetrical six-phase system; Artificial neural networks; Harmonic analysis; Inverters; Neurons; Pulse width modulation; Vectors; Artificial neural network (ANN); Dual three-phase; Six-phase inverter;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4577-1968-4

Type

conf

DOI

10.1109/ICIAS.2012.6306232

Filename

6306232