Artificial intelligence based controllers for industrial PWM power converters

Author

Kazmierkowski, M.P. ; Cichowlas, M. ; Jasinski, M.

Author_Institution

Inst. of Control & Ind. Electron., Warsaw Univ. of Technol., Poland

fYear

2003

fDate

21-24 Aug. 2003

Firstpage

187

Lastpage

191

Abstract

The pulse width modulated (PWM) three-phase AC/DC power converters are widely applied in industry environment for supply adjustable speed drives and other DC loads. We present two novel approaches for PWM current control of such an AC/DC converters. The first one is based on fuzzy logic approach, and the second one uses online trained neural network. The design procedure as well as simulation and DSP based experimental results are presented.

Keywords

AC-DC power convertors; PI control; PWM power convertors; artificial intelligence; electric current control; fuzzy control; industrial engineering; neural nets; artificial intelligence based controller; current control; fuzzy logic; industrial PWM power converters; online trained neural network; pulse width modulated three-phase AC-DC power converter; Analog-digital conversion; Artificial intelligence; Current control; DC-DC power converters; Electricity supply industry; Fuzzy logic; Industrial control; Pulse width modulation; Pulse width modulation converters; Variable speed drives;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Informatics, 2003. INDIN 2003. Proceedings. IEEE International Conference on

Print_ISBN

0-7803-8200-5

Type

conf

DOI

10.1109/INDIN.2003.1300268

Filename

1300268