Boost Half Bridge Converter with ANN Based MPPT
Author(s):
Deepthy Thomas, Aparna Thampi
Keywords:
Artificial neural network (ANN) Boost half bridge converter (BHB), Maximum power point tracking (MPPT), Photovoltaic (PV),
Abstract
This paper deals with the design and implementation of the boost half-bridge photovoltaic (PV) system with ANN based MPPT. In order to achieve low cost, easy control and high efficiency, a boost-half-bridge dc-dc converter is introduced to interface the low-voltage PV module. An ANN based maximum power point tracking (MPPT) generates the PV voltage reference. ANN is adopted such that fast tracking speed and high MPPT efficiency are obtained. It also improves the robustness of the MPPT system against temperature and irradiance. The performance of the system will be investigated with MATLAB/Simulink .
Article Details
Unique Paper ID: 143235

Publication Volume & Issue: Volume 2, Issue 8

Page(s): 15 - 19
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Latest Publication

Go To Issue



Call For Paper

Volume 9 Issue 10

Last Date for paper submitting for March Issue is 25 March 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers