Real-time optimal switching angle scheme for a cascaded H-Bridge inverter using Bonobo Optimizer
This study demonstrates a novel method for using the Bonobo Optimizer (BO) to selective harmonic elimination in a cascaded H-Bridge Multilevel Inverter (CHB-MLI) running on solar power. The primary objective is to calculate, in real time, the optimal switching angles for eliminating low-order harmon...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Muhammadiyah Yogyakarta
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/117678/ http://psasir.upm.edu.my/id/eprint/117678/1/117678.pdf |
| _version_ | 1848867312024682496 |
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| author | Abdul Wahab, Noor Izzri Abdulsalam Taha, Taha Hassan, Mohd Khair Zaynal, Hussein I. Taha, Faris Hassan Mohammed Hashim, Abdulghafor |
| author_facet | Abdul Wahab, Noor Izzri Abdulsalam Taha, Taha Hassan, Mohd Khair Zaynal, Hussein I. Taha, Faris Hassan Mohammed Hashim, Abdulghafor |
| author_sort | Abdul Wahab, Noor Izzri |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This study demonstrates a novel method for using the Bonobo Optimizer (BO) to selective harmonic elimination in a cascaded H-Bridge Multilevel Inverter (CHB-MLI) running on solar power. The primary objective is to calculate, in real time, the optimal switching angles for eliminating low-order harmonics while maintaining a constant output voltage despite variations in the input voltage. To prove that the BO algorithm works, tests were done on a three-phase, seven-level CHB-MLI that compared it to other evolutionary algorithms like the genetic algorithm (GA) and particle Swarm optimization (PSO). An adaptive BO-Artificial neural network (BO-ANN) based system was developed to compute real-time switching angles and applied to a 7-level CHB-MLI. The results demonstrate that the BO algorithm is the most accurate and fastest evolutionary algorithm for calculating optimal switching angles. This study illustrates the BO algorithm's effective utilization in real-time harmonic elimination applications in CHB-MLI. |
| first_indexed | 2025-11-15T14:34:29Z |
| format | Article |
| id | upm-117678 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:34:29Z |
| publishDate | 2024 |
| publisher | Universitas Muhammadiyah Yogyakarta |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1176782025-06-09T08:06:06Z http://psasir.upm.edu.my/id/eprint/117678/ Real-time optimal switching angle scheme for a cascaded H-Bridge inverter using Bonobo Optimizer Abdul Wahab, Noor Izzri Abdulsalam Taha, Taha Hassan, Mohd Khair Zaynal, Hussein I. Taha, Faris Hassan Mohammed Hashim, Abdulghafor This study demonstrates a novel method for using the Bonobo Optimizer (BO) to selective harmonic elimination in a cascaded H-Bridge Multilevel Inverter (CHB-MLI) running on solar power. The primary objective is to calculate, in real time, the optimal switching angles for eliminating low-order harmonics while maintaining a constant output voltage despite variations in the input voltage. To prove that the BO algorithm works, tests were done on a three-phase, seven-level CHB-MLI that compared it to other evolutionary algorithms like the genetic algorithm (GA) and particle Swarm optimization (PSO). An adaptive BO-Artificial neural network (BO-ANN) based system was developed to compute real-time switching angles and applied to a 7-level CHB-MLI. The results demonstrate that the BO algorithm is the most accurate and fastest evolutionary algorithm for calculating optimal switching angles. This study illustrates the BO algorithm's effective utilization in real-time harmonic elimination applications in CHB-MLI. Universitas Muhammadiyah Yogyakarta 2024-05-11 Article PeerReviewed text en cc_by_sa_4 http://psasir.upm.edu.my/id/eprint/117678/1/117678.pdf Abdul Wahab, Noor Izzri and Abdulsalam Taha, Taha and Hassan, Mohd Khair and Zaynal, Hussein I. and Taha, Faris Hassan and Mohammed Hashim, Abdulghafor (2024) Real-time optimal switching angle scheme for a cascaded H-Bridge inverter using Bonobo Optimizer. Journal of Robotics and Control (JRC), 5 (4). pp. 918-930. ISSN 2715-5056; eISSN: 2715-5072 https://journal.umy.ac.id/index.php/jrc/article/view/21701 |
| spellingShingle | Abdul Wahab, Noor Izzri Abdulsalam Taha, Taha Hassan, Mohd Khair Zaynal, Hussein I. Taha, Faris Hassan Mohammed Hashim, Abdulghafor Real-time optimal switching angle scheme for a cascaded H-Bridge inverter using Bonobo Optimizer |
| title | Real-time optimal switching angle scheme for a cascaded H-Bridge inverter using Bonobo Optimizer |
| title_full | Real-time optimal switching angle scheme for a cascaded H-Bridge inverter using Bonobo Optimizer |
| title_fullStr | Real-time optimal switching angle scheme for a cascaded H-Bridge inverter using Bonobo Optimizer |
| title_full_unstemmed | Real-time optimal switching angle scheme for a cascaded H-Bridge inverter using Bonobo Optimizer |
| title_short | Real-time optimal switching angle scheme for a cascaded H-Bridge inverter using Bonobo Optimizer |
| title_sort | real-time optimal switching angle scheme for a cascaded h-bridge inverter using bonobo optimizer |
| url | http://psasir.upm.edu.my/id/eprint/117678/ http://psasir.upm.edu.my/id/eprint/117678/ http://psasir.upm.edu.my/id/eprint/117678/1/117678.pdf |