Abstract
The reliability of dc-link capacitors in power electronic converters is one of the critical aspects to be considered in modern power converter design. The
observation of their ageing process and the estimation of their health status have been an attractive subject for the industrial field and hence for the academic research field as well. The existing condition monitoring methods suffer from shortcomings such as low estimation accuracy, extra hardware, and also increased cost. Therefore, the developed methods of condition monitoring that are based on software solutions and algorithms could be the way out of the aforementioned challenges and shortcomings. In this paper, a pure software condition monitoring method based on Artificial Neural Network (ANN) algorithm is proposed. The implemented ANN estimates the capacitance of the dc-link capacitor in a back-to-back converter. The error analysis of the estimated results is also studied. The developed ANN algorithm has been implemented in a Digital Signal Processor (DSP) in order to have a proof of concept of the proposed method.
observation of their ageing process and the estimation of their health status have been an attractive subject for the industrial field and hence for the academic research field as well. The existing condition monitoring methods suffer from shortcomings such as low estimation accuracy, extra hardware, and also increased cost. Therefore, the developed methods of condition monitoring that are based on software solutions and algorithms could be the way out of the aforementioned challenges and shortcomings. In this paper, a pure software condition monitoring method based on Artificial Neural Network (ANN) algorithm is proposed. The implemented ANN estimates the capacitance of the dc-link capacitor in a back-to-back converter. The error analysis of the estimated results is also studied. The developed ANN algorithm has been implemented in a Digital Signal Processor (DSP) in order to have a proof of concept of the proposed method.
| Original language | English |
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| Title of host publication | Proceedings of the 2016 IEEE International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia). |
| Number of pages | 7 |
| Place of Publication | Hefei, China. |
| Publisher | IEEE Press |
| Publication date | May 2016 |
| Pages | 1-7 |
| ISBN (Print) | 978-1-5090-1210-7 |
| DOIs | |
| Publication status | Published - May 2016 |
| Event | 2016 8th International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia) - Hefei, China Duration: 22 May 2016 → 25 May 2016 |
Conference
| Conference | 2016 8th International Power Electronics and Motion Control Conference - ECCE Asia (IPEMC 2016-ECCE Asia) |
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| Country/Territory | China |
| City | Hefei |
| Period | 22/05/2016 → 25/05/2016 |