Tehnički vjesnik, Vol. 27 No. 2, 2020.
Izvorni znanstveni članak
https://doi.org/10.17559/TV-20180503115747
Simulation and Design of Three-Level Cascaded Inverter Based on Soft Computing Method
Ayse Kocalmis Bilhan
; Nevsehir Haci Bektas Veli University, Faculty of Engineering and Architecture, Department of Electrical and Electronics Engineering, 2000 Evler Mah. Zübeyde Hanım Cad. 50300/Nevşehir, Turkey
Sedat Sunter
; Department of Electrical and Electronics Engineering, Faculty of Engineering, Ankara University Gölbaşı Yerleşkesi/Ankara, Turkey
Sažetak
This paper presents the development and performance testing of the three-level inverter used in distributed power generation systems or Hybrid / Electric /Fuel Cell Vehicles, employing the Space Vector Pulse Width Modulation Technique (SVPWM). A separate isolated DC voltage source for the H-bridge inverter structure can be considered as Fuel Cells (FCs), batteries, ultra-capacitors, photovoltaic (PV) panels or another alternative energy sources. The three-level SVPWM has been briefly presented with switching sequences and states using the proposed algorithm. Artificial Neutral Network (ANN) structure is applied to the system for detecting the sector in the space vector hexagon and then calculating the region in the sector sections. In this paper, a three-level cascaded inverter with passive load and active load using SVPWM technique has been modeled, simulated and performed for various operation conditions. This modulation strategy provides to get sinusoidal waveforms with less switching losses and with very low harmonic distortion at the output. Simulation and experimental waveforms of the three-level SVPWM inverter feeding R-L (passive) and induction motor (active) loads are presented and analyzed for various operating conditions to verify the model and proposed algorithm.
Ključne riječi
artificial neural network; inverters; pulse width modulation; voltage control
Hrčak ID:
236799
URI
Datum izdavanja:
15.4.2020.
Posjeta: 1.490 *