Title :
Neural networks controlling for both the DC boost and AC output voltage of Z-source inverter
Author :
Rostami, H. ; Khaburi, D.A.
Author_Institution :
Centre of Excellence for Power System Automation and Operation, Iran University of Science and Technology, Tehran, Iran
Abstract :
This paper uses algorithms for controlling both the dc boost and ac output voltage of Z-source inverter using neural networks. The capacitor voltage of the Z-source network is controlled linearly in order to improve the transient response for dc boost control of the Z-source inverter. The peak value of the ac output voltage is used to control exactly the ac output voltage to its desired level. A modified space vector pulse-width-modulation scheme is also applied to control the shoot-through duty ratio for boosting dc voltage. The neural networks control technique is verified with simulation results and compared with the traditional PI controller responses.
Keywords :
Bridge circuits; Capacitors; Equivalent circuits; Leg; Neural networks; Power electronics; Pulse width modulation inverters; Space vector pulse width modulation; Transient response; Voltage control; Neural networks; Space vector PWM; Z-source inverter;
Conference_Titel :
Power Electronic & Drive Systems & Technologies Conference (PEDSTC), 2010 1st
Conference_Location :
Tehran, Iran
Print_ISBN :
978-1-4244-5944-5
DOI :
10.1109/PEDSTC.2010.5471841