A Parameter Estimation Method of DC-link Capacitor Based on Pre-charge Process of Traction Converter
As a key component of traction converter, DC-link capacitor plays a key role in stabilizing DC side voltage. However, when a DC-link capacitor is exposed to high temperature and high pressure for a long time, its equivalent series resistance(ESR) will gradually increase, and the capacitor will grad...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2023-04-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.02.009 |
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| _version_ | 1849224992623951872 |
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| author | LYU Gexing ZHU Qi |
| author_facet | LYU Gexing ZHU Qi |
| author_sort | LYU Gexing |
| collection | DOAJ |
| description | As a key component of traction converter, DC-link capacitor plays a key role in stabilizing DC side voltage. However, when a DC-link capacitor is exposed to high temperature and high pressure for a long time, its equivalent series resistance(ESR) will gradually increase, and the capacitor will gradually fail to meet the functional requirements, thus affecting the reliability of the converter. Adopting different maintenance strategies according to the health state of capacitors can improve the safety and maintainability of a traction system. This paper proposes a parameter identification method based on the pre-charging process for traction converter. An identification model of the DC-link capacitor is established based on the equivalent circuit of DC-link capacitor, and voltage and current signals in the pre-charging process are used to estimate parameter. In order to improve the reliability of the estimation, different from the traditional parameter identification algorithm based on gradient descent, the genetic algorithm is used to search for the optimal value in the range of health parameter and estimate the real parameter. Simulation under different noise conditions and physical experiments by performing the pre-charging process of the traction converter were carried out, and both the identification errors were less than 3%. The effectiveness of the proposed method is verified by simulation and physical experiments. |
| format | Article |
| id | doaj-art-ec77fdbf29ff459392969e0287f6ddd8 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2023-04-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-ec77fdbf29ff459392969e0287f6ddd82025-08-25T06:49:19ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272023-04-01556036901905A Parameter Estimation Method of DC-link Capacitor Based on Pre-charge Process of Traction ConverterLYU GexingZHU QiAs a key component of traction converter, DC-link capacitor plays a key role in stabilizing DC side voltage. However, when a DC-link capacitor is exposed to high temperature and high pressure for a long time, its equivalent series resistance(ESR) will gradually increase, and the capacitor will gradually fail to meet the functional requirements, thus affecting the reliability of the converter. Adopting different maintenance strategies according to the health state of capacitors can improve the safety and maintainability of a traction system. This paper proposes a parameter identification method based on the pre-charging process for traction converter. An identification model of the DC-link capacitor is established based on the equivalent circuit of DC-link capacitor, and voltage and current signals in the pre-charging process are used to estimate parameter. In order to improve the reliability of the estimation, different from the traditional parameter identification algorithm based on gradient descent, the genetic algorithm is used to search for the optimal value in the range of health parameter and estimate the real parameter. Simulation under different noise conditions and physical experiments by performing the pre-charging process of the traction converter were carried out, and both the identification errors were less than 3%. The effectiveness of the proposed method is verified by simulation and physical experiments.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.02.009parameter identificationgenetic algorithmDC-link capacitorpre-charge processtraction converter |
| spellingShingle | LYU Gexing ZHU Qi A Parameter Estimation Method of DC-link Capacitor Based on Pre-charge Process of Traction Converter Kongzhi Yu Xinxi Jishu parameter identification genetic algorithm DC-link capacitor pre-charge process traction converter |
| title | A Parameter Estimation Method of DC-link Capacitor Based on Pre-charge Process of Traction Converter |
| title_full | A Parameter Estimation Method of DC-link Capacitor Based on Pre-charge Process of Traction Converter |
| title_fullStr | A Parameter Estimation Method of DC-link Capacitor Based on Pre-charge Process of Traction Converter |
| title_full_unstemmed | A Parameter Estimation Method of DC-link Capacitor Based on Pre-charge Process of Traction Converter |
| title_short | A Parameter Estimation Method of DC-link Capacitor Based on Pre-charge Process of Traction Converter |
| title_sort | parameter estimation method of dc link capacitor based on pre charge process of traction converter |
| topic | parameter identification genetic algorithm DC-link capacitor pre-charge process traction converter |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.02.009 |
| work_keys_str_mv | AT lyugexing aparameterestimationmethodofdclinkcapacitorbasedonprechargeprocessoftractionconverter AT zhuqi aparameterestimationmethodofdclinkcapacitorbasedonprechargeprocessoftractionconverter AT lyugexing parameterestimationmethodofdclinkcapacitorbasedonprechargeprocessoftractionconverter AT zhuqi parameterestimationmethodofdclinkcapacitorbasedonprechargeprocessoftractionconverter |