Parameter estimation of a DC-DC converter using an extended Kalman filter for fault detection
DC/DC converters are used frequently in the power supply system of a satellite. Its reliability and maintainability is very important, therefore, the early stage diagnosis of potential parameter failure is very important for reducing stopping time, predictive maintenance and fault-tolerant system. I...
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sg-ntu-dr.10356-601942023-07-07T15:51:21Z Parameter estimation of a DC-DC converter using an extended Kalman filter for fault detection Zhang, Chen Low Kay Soon School of Electrical and Electronic Engineering Satellite Engineering Centre DRNTU::Engineering::Electrical and electronic engineering::Power electronics DC/DC converters are used frequently in the power supply system of a satellite. Its reliability and maintainability is very important, therefore, the early stage diagnosis of potential parameter failure is very important for reducing stopping time, predictive maintenance and fault-tolerant system. In this project, the objective was to build a DC-DC Buck converter for fulfilling the requirements of parameter estimation using Kalman filter. To prevent the EMI noise affects sampling the desired signal, efforts were made to undo the EMI noise, such as adding a snubber circuit, adding a EMI filter. Other additional components were also added to improve the output voltage. A digital feedback control was incorporated to the Buck converter by using a MCU. The program design was introduced. Another Buck converter as a backup converter which is the same as the first one was built for replacement as the failure was detected in the first one. Finally, a hot-swap circuit was added to the circuits for preventing the inrush current while the backup Buck converter was first time to connect. Bachelor of Engineering 2014-05-23T06:02:42Z 2014-05-23T06:02:42Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/60194 en Nanyang Technological University 54 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Power electronics Zhang, Chen Parameter estimation of a DC-DC converter using an extended Kalman filter for fault detection |
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DC/DC converters are used frequently in the power supply system of a satellite. Its reliability and maintainability is very important, therefore, the early stage diagnosis of potential parameter failure is very important for reducing stopping time, predictive maintenance and fault-tolerant system. In this project, the objective was to build a DC-DC Buck converter for fulfilling the requirements of parameter estimation using Kalman filter. To prevent the EMI noise affects sampling the desired signal, efforts were made to undo the EMI noise, such as adding a snubber circuit, adding a EMI filter. Other additional components were also added to improve the output voltage. A digital feedback control was incorporated to the Buck converter by using a MCU. The program design was introduced. Another Buck converter as a backup converter which is the same as the first one was built for replacement as the failure was detected in the first one. Finally, a hot-swap circuit was added to the circuits for preventing the inrush current while the backup Buck converter was first time to connect. |
author2 |
Low Kay Soon |
author_facet |
Low Kay Soon Zhang, Chen |
format |
Final Year Project |
author |
Zhang, Chen |
author_sort |
Zhang, Chen |
title |
Parameter estimation of a DC-DC converter using an extended Kalman filter for fault detection |
title_short |
Parameter estimation of a DC-DC converter using an extended Kalman filter for fault detection |
title_full |
Parameter estimation of a DC-DC converter using an extended Kalman filter for fault detection |
title_fullStr |
Parameter estimation of a DC-DC converter using an extended Kalman filter for fault detection |
title_full_unstemmed |
Parameter estimation of a DC-DC converter using an extended Kalman filter for fault detection |
title_sort |
parameter estimation of a dc-dc converter using an extended kalman filter for fault detection |
publishDate |
2014 |
url |
http://hdl.handle.net/10356/60194 |
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1772825312061554688 |