High-Gain Inverter for Intelligent Agricultural Systems

To address the challenge of inconvenient power supply in agricultural greenhouses, this paper proposes a transformerless single-phase inverter for smart agricultural systems. The proposed inverter integrates a conventional boost converter with a semi-quasi-Z-source network, achieving higher voltage gain compared to both traditional quasi-Z-source and semi-Z-source inverters. A comprehensive analysis of the operational principles and simulation results is provided.

Authors

Institutions

Publication Details

Published
2025-08-08
DOI
https://doi.org/10.1109/iaeac65194.2025.11165907
Primary Topic
Advanced Signal Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-Gain Inverter for Intelligent Agricultural Systems

Jing Cai, Bo Wang, Jie Xu, Zhiwei Chen et al.
Advanced Signal Processing Techniques
article

High-Gain Inverter for Intelligent Agricultural Systems

Jing Cai, Bo Wang, Jie Xu, Zhiwei Chen, Yongfu Ke, Yu Rong
article en

Abstract

To address the challenge of inconvenient power supply in agricultural greenhouses, this paper proposes a transformerless single-phase inverter for smart agricultural systems. The proposed inverter integrates a conventional boost converter with a semi-quasi-Z-source network, achieving higher voltage gain compared to both traditional quasi-Z-source and semi-Z-source inverters. A comprehensive analysis of the operational principles and simulation results is provided.

Guangdong Ocean University (CN)
Openalex Percentile: Top 74%
Advanced Signal Processing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.