International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
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Genetic Algorithm-based Performance Optimization of Single-phase Pwm Rectifier
Author(s) | Geetanjali Sinha, Rahul Pandey |
---|---|
Country | India |
Abstract | The purpose of this study is to offer an effective approach for eliminating harmonics in single-phase PWM rectifiers that is based on a Genetic Algorithm. A control loop has been developed in order to achieve the desired DC voltage with the least amount of ripple, the input current with the fewest number of harmonics, and the highest possible input power factor. It has been demonstrated, via the use of theoretical research, that the approach that has been provided for the removal of harmonics is both successful and reliable. Simulations carried out with the MATLAB software programmed are used to check the correctness of theoretical findings. |
Keywords | PWM Rectifier, Genetic algorithm (GA), power factor, MATLAB, Harmonics |
Field | Engineering |
Published In | Volume 5, Issue 3, May-June 2023 |
Published On | 2023-06-08 |
Cite This | Genetic Algorithm-based Performance Optimization of Single-phase Pwm Rectifier - Geetanjali Sinha, Rahul Pandey - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.3520 |
DOI | https://doi.org/10.36948/ijfmr.2023.v05i03.3520 |
Short DOI | https://doi.org/gscdqn |
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E-ISSN 2582-2160
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