سال انتشار: ۱۳۸۸

محل انتشار: اولین کنفرانس بین المللی الکترونیک قدرت و سیستم های درایو

تعداد صفحات: ۶

نویسنده(ها):

Rostami – Centre of Excellence for Power System Automation and Operation, Iran University of Science and Technology, Tehran, Iran.
Khaburi – Centre of Excellence for Power System Automation and Operation, Iran University of Science and Technology, Tehran, Iran.

چکیده:

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.