Title :
Three-phase active power filter control using neural networks
Author :
Vázquez, J.R. ; Salmerón, P.R.
Author_Institution :
Dept. of Electr. Eng, Huelva Univ., Spain
Abstract :
A new control method for active power filters (APF) using neural networks is presented. It is pulse width modulation control (PWM) designed with two blocks that include neural networks. The first one includes adaptive networks that estimate the reference compensation current; adaptive linear neurons (Adaline) were used. The second one includes a feedforward network that works as a hysteresis band comparator; this network is multilayer and it has been trained by a backpropagation algorithm. A practical case with Matlab-Simulink is presented to check the proposed control performance.
Keywords :
active filters; adaptive control; backpropagation; feedforward neural nets; multilayer perceptrons; neurocontrollers; power harmonic filters; power supply quality; power system control; power system harmonics; pulse width modulation; Adaline; Matlab-Simulink; adaptive linear neurons; adaptive networks; backpropagation algorithm; feedforward network; harmonics suppression; hysteresis band comparator; multilayer network; neural networks; power quality; pulse width modulation control; reference compensation current estimation; three-phase active power filter control; Active filters; Adaptive systems; Backpropagation algorithms; Computer languages; Hysteresis; Multi-layer neural network; Neural networks; Neurons; Pulse width modulation; Space vector pulse width modulation;
Conference_Titel :
Electrotechnical Conference, 2000. MELECON 2000. 10th Mediterranean
Print_ISBN :
0-7803-6290-X
DOI :
10.1109/MELCON.2000.879683
