Home > Engineering > Electrical Engineering > Volume-2 > Issue-6 > Harmonic Analysis of SVPWM Based Three Phase Inverter using MATLAB/Simulink

Harmonic Analysis of SVPWM Based Three Phase Inverter using MATLAB/Simulink

Call for Papers

Volume-8 | Issue-6

Last date : 27-Dec-2024

Best International Journal
Open Access | Peer Reviewed | Best International Journal | Indexing & IF | 24*7 Support | Dedicated Qualified Team | Rapid Publication Process | International Editor, Reviewer Board | Attractive User Interface with Easy Navigation

Journal Type : Open Access

First Update : Within 7 Days after submittion

Submit Paper Online

For Author

Research Area


Harmonic Analysis of SVPWM Based Three Phase Inverter using MATLAB/Simulink


Afroz Sultana Pathan | Chaitanya Krishna Jambotkar

https://doi.org/10.31142/ijtsrd18840



Afroz Sultana Pathan | Chaitanya Krishna Jambotkar "Harmonic Analysis of SVPWM Based Three Phase Inverter using MATLAB/Simulink" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6, October 2018, pp.1332-1337, URL: https://www.ijtsrd.com/papers/ijtsrd18840.pdf

In recent years inverters has taken a vast place in industrial application and is also used in various other applications such as static power converter for high power applications, FACTS devices, HVDC and also as electric drives for all ac motors when DC supply is used. Another major advantage is that their switching frequency is lower than a basic inverter, for this it has less switching losses and higher voltage capability. To drive this inverter Pulse Width Modulation (PWM) is used. Space Vector Modulation (SVM) is the popular PWM method and possibly the best among all the PWM techniques as it generates higher voltages with low total harmonic distortion and works very well with field oriented (vector control) schemes for motor control. High quality output spectra can be obtained by eliminating several lower order harmonics by adopting a suitable harmonic elimination technique. Genetic Algorithm (GA) optimization technique is used to achieve proper switching angles to reduce the THD and elimination of a selective lower order harmonics with fundamental components at the desired values.

SVPWM, Genetic Algorithm, Harmonics, THD.


IJTSRD18840
Volume-2 | Issue-6, October 2018
1332-1337
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

Thomson Reuters
Google Scholer
Academia.edu

ResearchBib
Scribd.com
archive

PdfSR
issuu
Slideshare

WorldJournalAlerts
Twitter
Linkedin