Improving the Efficiency of Electric Rolling Stock Operation Through the Use of Adaptive Filtering Methods for High Harmonic Current Components in Traction Drive Systems
The aim of this work is to investigate the efficiency of various adaptive filtering methods for higher harmonic components of stator currents in a vector-controlled traction drive system to improve the operation efficiency of electric rolling stock. The set goal was achieved by implementing an adapt...
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| Language: | English |
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Academy of Sciences of Moldova
2023-11-01
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| Series: | Problems of the Regional Energetics |
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| Online Access: | https://journal.ie.asm.md/assets/files/01_04_60_2023.pdf |
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| author | Goolak S. |
| author_facet | Goolak S. |
| author_sort | Goolak S. |
| collection | DOAJ |
| description | The aim of this work is to investigate the efficiency of various adaptive filtering methods for higher harmonic components of stator currents in a vector-controlled traction drive system to improve the operation efficiency of electric rolling stock. The set goal was achieved by implementing an adaptive filtering block into the basic vector control system, which sequentially employs various adaptive filtering methods. The first harmonic component of stator currents was proposed to be used as the desired signal. An algorithm for determining the first harmonic component under conditions of varying supply voltage frequency was developed. Based on the simulation results, filtration efficiency metrics were established, indicating that the Wiener filter is the most effective for filtering higher harmonic components of stator currents. The most significant results include the algorithm for determining the first harmonic component of the stator phase current and the determination of an adaptive filtering algorithm with the highest convergence rate. The importance of these results lies in identifying the most effective adaptive filtering algorithm for traction drive operation, taking into account the operating modes of electric rolling stock. This will help reduce losses from higher harmonic components in the traction drive and, consequently, increase its energy efficiency. |
| format | Article |
| id | doaj-art-d469bb684e414df19112d9a5ae517ffb |
| institution | DOAJ |
| issn | 1857-0070 |
| language | English |
| publishDate | 2023-11-01 |
| publisher | Academy of Sciences of Moldova |
| record_format | Article |
| series | Problems of the Regional Energetics |
| spelling | doaj-art-d469bb684e414df19112d9a5ae517ffb2025-08-20T02:51:25ZengAcademy of Sciences of MoldovaProblems of the Regional Energetics1857-00702023-11-0160411310.52254/1857-0070.2023.4-60.01Improving the Efficiency of Electric Rolling Stock Operation Through the Use of Adaptive Filtering Methods for High Harmonic Current Components in Traction Drive SystemsGoolak S.0State University of Infrastructure and Technologies Kyiv, UkraineThe aim of this work is to investigate the efficiency of various adaptive filtering methods for higher harmonic components of stator currents in a vector-controlled traction drive system to improve the operation efficiency of electric rolling stock. The set goal was achieved by implementing an adaptive filtering block into the basic vector control system, which sequentially employs various adaptive filtering methods. The first harmonic component of stator currents was proposed to be used as the desired signal. An algorithm for determining the first harmonic component under conditions of varying supply voltage frequency was developed. Based on the simulation results, filtration efficiency metrics were established, indicating that the Wiener filter is the most effective for filtering higher harmonic components of stator currents. The most significant results include the algorithm for determining the first harmonic component of the stator phase current and the determination of an adaptive filtering algorithm with the highest convergence rate. The importance of these results lies in identifying the most effective adaptive filtering algorithm for traction drive operation, taking into account the operating modes of electric rolling stock. This will help reduce losses from higher harmonic components in the traction drive and, consequently, increase its energy efficiency.https://journal.ie.asm.md/assets/files/01_04_60_2023.pdfoperational efficiencyenergy efficiencyvector controlhigher harmonic componentsadaptive filteringelectric rolling stock. |
| spellingShingle | Goolak S. Improving the Efficiency of Electric Rolling Stock Operation Through the Use of Adaptive Filtering Methods for High Harmonic Current Components in Traction Drive Systems Problems of the Regional Energetics operational efficiency energy efficiency vector control higher harmonic components adaptive filtering electric rolling stock. |
| title | Improving the Efficiency of Electric Rolling Stock Operation Through the Use of Adaptive Filtering Methods for High Harmonic Current Components in Traction Drive Systems |
| title_full | Improving the Efficiency of Electric Rolling Stock Operation Through the Use of Adaptive Filtering Methods for High Harmonic Current Components in Traction Drive Systems |
| title_fullStr | Improving the Efficiency of Electric Rolling Stock Operation Through the Use of Adaptive Filtering Methods for High Harmonic Current Components in Traction Drive Systems |
| title_full_unstemmed | Improving the Efficiency of Electric Rolling Stock Operation Through the Use of Adaptive Filtering Methods for High Harmonic Current Components in Traction Drive Systems |
| title_short | Improving the Efficiency of Electric Rolling Stock Operation Through the Use of Adaptive Filtering Methods for High Harmonic Current Components in Traction Drive Systems |
| title_sort | improving the efficiency of electric rolling stock operation through the use of adaptive filtering methods for high harmonic current components in traction drive systems |
| topic | operational efficiency energy efficiency vector control higher harmonic components adaptive filtering electric rolling stock. |
| url | https://journal.ie.asm.md/assets/files/01_04_60_2023.pdf |
| work_keys_str_mv | AT goolaks improvingtheefficiencyofelectricrollingstockoperationthroughtheuseofadaptivefilteringmethodsforhighharmoniccurrentcomponentsintractiondrivesystems |