Multi-objective optimization for smaller, efficient and better performed design of buck-boost converters
Converters are essential components in DC-DC transformation and each objective of a converter plays an important role in the transformation. However, in most cases, improving one objective means sacrifices the others. As a result, the overall performance of the converters is not satisfied. The thesi...
| Egile nagusia: | |
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| Beste egile batzuk: | |
| Formatua: | Thesis-Master by Research |
| Hizkuntza: | English |
| Argitaratua: |
Nanyang Technological University
2021
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| Gaiak: | |
| Sarrera elektronikoa: | https://hdl.handle.net/10356/150531 |
| _version_ | 1826116971522949120 |
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| author | Huang, Xianmiao |
| author2 | Hung Dinh Nguyen |
| author_facet | Hung Dinh Nguyen Huang, Xianmiao |
| author_sort | Huang, Xianmiao |
| collection | NTU |
| description | Converters are essential components in DC-DC transformation and each objective of a converter plays an important role in the transformation. However, in most cases, improving one objective means sacrifices the others. As a result, the overall performance of the converters is not satisfied. The thesis proposes a method to optimized volume, efficiency, and cut-off frequency of LC-filter in buck-boost converter with full consideration of keeping three objectives on optimal conditions compared to the existed method. The Multi-objective optimization is for building a more portable, highly efficient, and better performance converter. For avoiding the interference of improving each objective and for obtaining optimal solutions with a fast process and better convergence, the author applies Non-dominated Sorting Genetic Algorithm-II to generate a Pareto frontier which could provide researchers a visualized figure to select the cases based on their demands. The multi-objective optimization results are compared with single-objective optimization results to verify the feasibility of the project. |
| first_indexed | 2024-10-01T04:20:08Z |
| format | Thesis-Master by Research |
| id | ntu-10356/150531 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:20:08Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1505312023-07-04T17:00:43Z Multi-objective optimization for smaller, efficient and better performed design of buck-boost converters Huang, Xianmiao Hung Dinh Nguyen School of Electrical and Electronic Engineering hunghtd@ntu.edu.sg Engineering::Electrical and electronic engineering Converters are essential components in DC-DC transformation and each objective of a converter plays an important role in the transformation. However, in most cases, improving one objective means sacrifices the others. As a result, the overall performance of the converters is not satisfied. The thesis proposes a method to optimized volume, efficiency, and cut-off frequency of LC-filter in buck-boost converter with full consideration of keeping three objectives on optimal conditions compared to the existed method. The Multi-objective optimization is for building a more portable, highly efficient, and better performance converter. For avoiding the interference of improving each objective and for obtaining optimal solutions with a fast process and better convergence, the author applies Non-dominated Sorting Genetic Algorithm-II to generate a Pareto frontier which could provide researchers a visualized figure to select the cases based on their demands. The multi-objective optimization results are compared with single-objective optimization results to verify the feasibility of the project. Master of Engineering 2021-06-23T03:39:05Z 2021-06-23T03:39:05Z 2021 Thesis-Master by Research Huang, X. (2021). Multi-objective optimization for smaller, efficient and better performed design of buck-boost converters. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150531 https://hdl.handle.net/10356/150531 10.32657/10356/150531 en This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Huang, Xianmiao Multi-objective optimization for smaller, efficient and better performed design of buck-boost converters |
| title | Multi-objective optimization for smaller, efficient and better performed design of buck-boost converters |
| title_full | Multi-objective optimization for smaller, efficient and better performed design of buck-boost converters |
| title_fullStr | Multi-objective optimization for smaller, efficient and better performed design of buck-boost converters |
| title_full_unstemmed | Multi-objective optimization for smaller, efficient and better performed design of buck-boost converters |
| title_short | Multi-objective optimization for smaller, efficient and better performed design of buck-boost converters |
| title_sort | multi objective optimization for smaller efficient and better performed design of buck boost converters |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/150531 |
| work_keys_str_mv | AT huangxianmiao multiobjectiveoptimizationforsmallerefficientandbetterperformeddesignofbuckboostconverters |