Voltage Losses Compensation Using Artificial Neural Network for Estimation Nonlinear Characteristic of Switches

Author

Pothi, N. ; Premrudeepreechacharn, S. ; Rakpenthai, C.

Author_Institution

Naresuan Univ. Phayao, Phayao

fYear

2007

fDate

27-30 Nov. 2007

Firstpage

1015

Lastpage

1019

Abstract

This paper presents the voltage losses compensation technique for three-phase inverter by considering nonlinear characteristic of switches, dead time, and turn on/off delay. An artificial neural network (ANN) is employed to estimate the nonlinear characteristic of switches. The compensation method improves the modulation index of the open-loop Space Vector Pulse Width Modulation Voltage-Source Inverter (SVPWM-VSI) performing on the constant V/f control technique. DSP TMS320LF2407 was used to control the effect of the voltage losses on the efficiency. The principle is explained qualitatively and extensive experiments have been carried out to verify the propose method.

Keywords

PWM invertors; neural nets; power engineering computing; switching convertors; ANN; DSP TMS320LF2407; artificial neural network; estimation nonlinear characteristic; modulation index; open-loop space vector pulse width modulation inverter; switches; three-phase inverter; voltage losses compensation; voltage-source inverter; Artificial neural networks; Delay effects; Delay estimation; Diodes; Open loop systems; Pulse width modulation inverters; Space vector pulse width modulation; Switches; Temperature; Voltage control; SVPWM; modulation index; nonlinear characteristic of switches; voltage compensation;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Drive Systems, 2007. PEDS '07. 7th International Conference on

Conference_Location

Bangkok

Print_ISBN

978-1-4244-0645-6

Electronic_ISBN

978-1-4244-0645-6

Type

conf

DOI

10.1109/PEDS.2007.4487828

Filename

4487828