Title :
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
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;
Conference_Titel :
Industrial Informatics, 2003. INDIN 2003. Proceedings. IEEE International Conference on
Print_ISBN :
0-7803-8200-5
DOI :
10.1109/INDIN.2003.1300268
