شماره ركورد كنفرانس :
2857
عنوان مقاله :
Neural Networks Controlling for Both the DC Boost and AC Output Voltage of Z-Source Inverter
پديدآورندگان :
Rostami H نويسنده , Khaburi D. A نويسنده
كليدواژه :
Z-Source inverter , Space Vector PWM , Neural networks
عنوان كنفرانس :
مجموعه مقالات چهل و سومين كنفرانس رياضي كشور
چكيده فارسي :
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
شماره مدرك كنفرانس :
1984205