Comparative Analysis of the PWM and SPWM on Three-Phase Inverter through Different Loads and Frequencies

Clicks: 3
ID: 313237
2023
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #574 of 705 articles by views in Journal of Computing & Biomedical Informatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 705 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
This research paper aims to compare the total harmonic distortion (THD) of the three-phase inverters used in variable frequency drives (VFDs) and high-power applications such as HVDC power transmission and AC motor drive systems. THD causes electromechanical and thermal stresses on the system, and this study compares the results of Pulse Width Modulation (PWM) and Sinusoidal Pulse Width Modulation (SPWM) on the three-phase inverter under different loads and frequencies. The study is conducted using MATLAB/SIMULINK software and analyzes the THD of the three-phase inverter under the PWM and SPWM separately. The loads considered in this study include R, RL, RC, and RLC, while the frequencies include 10, 15, and 20 kHz. The results of the study show that SPWM produces a lower THD compared to the PWM, which indicates that the overall efficiency of the inverter is improved when the SPWM is used. This research is limited to fixed frequency and loads, and the study suggests that using the model predictive control (MPC) method may lead to even better results.
Reference Key
imported_1777059960_69ebc878f2aae Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Sheeraz Ahmed
Journal Journal of Computing & Biomedical Informatics
Year 2023
DOI
DOI not found
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.