DocumentCode :
2767305
Title :
Research on three-phase converter controller based on neural network technique
Author :
Baocheng, Wang ; Weiyang, Wu ; Sun, Xiaofeng ; Kun, Wei
Author_Institution :
Coll. of Electr. Eng., Yanshan Univ., China
Volume :
2
fYear :
2003
fDate :
17-20 Nov. 2003
Firstpage :
1514
Abstract :
A back propagation neural network is used in this paper to control the three phase converter input current with state vector PWM (SVPWM) performance. The paper presents some characters of the current modulator. To improve the performance in response of current, robustness and insensitivity to system parameters, a online training neural networks proportional integrate modulator is used. Simulation and experimental results are given out.
Keywords :
PWM power convertors; backpropagation; neural nets; SVPWM; back propagation; current modulator; neural network online training; proportional integrate modulator; state vector pulse width modulation; system parameters insensitivity; three-phase converter controller; Control systems; Current control; Hysteresis; Low pass filters; Matrix converters; Neural networks; Pulse width modulation converters; Regulators; Space vector pulse width modulation; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Drive Systems, 2003. PEDS 2003. The Fifth International Conference on
Print_ISBN :
0-7803-7885-7
Type :
conf
DOI :
10.1109/PEDS.2003.1283211
Filename :
1283211
Link To Document :
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