Title :
Computer simulation of a neural network controlled buck converter
Author :
Maddaleno, Franco
Author_Institution :
Dept. of Electron., Torino Polytech., Italy
Abstract :
This work presents the first results obtained by the simulation of a neural network (NN) controlling a DC to DC buck converter. An approach has been chosen in which the NN observes the input disturbances, the state variables and controls the output voltage. Input voltage and output current have been considered as input disturbances, and the network has been trained on typical signals, and then tested on another set of combined disturbances. The simulation has been carried out using MATLAB
Keywords :
DC-DC power convertors; digital simulation; learning (artificial intelligence); neurocontrollers; observers; power engineering computing; simulation; DC to DC buck converter; MATLAB; computer simulation; input disturbances observation; input voltage; neural network controlled buck converter; neural network training; output current; output voltage control; state variables observation; Buck converters; Capacitors; Circuit simulation; Computational modeling; Computer simulation; Inductors; Mathematical model; Neural networks; Steady-state; Voltage control;
Conference_Titel :
Computers in Power Electronics, 1994., IEEE 4th Workshop on
Conference_Location :
Trois-Rivieres, Que.
Print_ISBN :
0-7803-2091-3
DOI :
10.1109/CIPE.1994.396744
