Title :
Hardware implementation of neural network controlled optimal PWM inverter using TMS320C30 board
Author :
Mohaddes, M. ; Gole, A.M. ; McLaren, P.G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Abstract :
An optimal PWM scheme is used to control a voltage source inverter. The switching angles are controlled by a feedforward artificial neural network in a way that all nontriplen harmonics up to the 29th are completely removed from the output and the amplitude of the fundamental is set at the desired level. The neural network is emulated by a TMS320C30 DSP board along with the other parts of the control unit of the inverter
Keywords :
DC-AC power convertors; PWM invertors; bipolar transistor switches; feedforward neural nets; harmonic distortion; insulated gate bipolar transistors; neurocontrollers; optimal control; power bipolar transistors; power semiconductor switches; power system harmonics; voltage control; TMS320C30 DSP board; VSI; feedforward artificial neural network; fundamental amplitude; hardware implementation; neural network control; nontriplen harmonics; optimal PWM voltage source inverter; switching angles; Circuits; Equations; Neural network hardware; Neural networks; Optimal control; Power harmonic filters; Pulse width modulation inverters; Space vector pulse width modulation; Switching frequency; Voltage control;
Conference_Titel :
WESCANEX 97: Communications, Power and Computing. Conference Proceedings., IEEE
Conference_Location :
Winnipeg, Man.
Print_ISBN :
0-7803-4147-3
DOI :
10.1109/WESCAN.1997.627133
