Modelling of brushless doubly fed reluctance machines based on reluctance network model
Abstract The modelling and analysis of Brushless Doubly Fed Reluctance Machines (BDFRMs), taking into account magnetic saturation and rotor movement, by conventional modelling techniques are very difficult, if not impossible, because the two stator windings have different number of poles leading to...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-10-01
|
| Series: | IET Electric Power Applications |
| Online Access: | https://doi.org/10.1049/elp2.12106 |
| _version_ | 1811188949248376832 |
|---|---|
| author | Eric Duckler Kenmoe Fankem Clement Junior Kendeg Onla Wang Xiaoyan Alix Dountio Tchioffo Joseph Yves Effa |
| author_facet | Eric Duckler Kenmoe Fankem Clement Junior Kendeg Onla Wang Xiaoyan Alix Dountio Tchioffo Joseph Yves Effa |
| author_sort | Eric Duckler Kenmoe Fankem |
| collection | DOAJ |
| description | Abstract The modelling and analysis of Brushless Doubly Fed Reluctance Machines (BDFRMs), taking into account magnetic saturation and rotor movement, by conventional modelling techniques are very difficult, if not impossible, because the two stator windings have different number of poles leading to a complex flux pattern. To overcome this drawback, Finite Element Analysis (FEA) is generally used for modelling and analysing BDFRMs. But it requires a considerable computational time compared with semi‐analytical methods. This article, therefore, steps forward by proposing a new approach to dynamical modelling of BDFRM based on the Reluctance Network Method (RNM), which can enable accurate calculation of the electromagnetic parameters and performances of BDFRMs. Indeed, the reluctance network method offers an interesting compromise between precision and computation time compared to finite element analysis. To validate the proposed model, simulations are carried out and comparison are made with FEA. It is observed that the greatest error between the values of the proposed model and those from FEA is close to 1%. The accuracy in the calculation of electromagnetic parameters, as well as the computational time leads us to the conclusion that the proposed model could be suitable for optimisation and control purposes. |
| first_indexed | 2024-04-11T14:26:34Z |
| format | Article |
| id | doaj.art-7b0504e65f8244939257f5564e12bc35 |
| institution | Directory Open Access Journal |
| issn | 1751-8660 1751-8679 |
| language | English |
| last_indexed | 2024-04-11T14:26:34Z |
| publishDate | 2021-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Electric Power Applications |
| spelling | doaj.art-7b0504e65f8244939257f5564e12bc352022-12-22T04:18:50ZengWileyIET Electric Power Applications1751-86601751-86792021-10-0115101384139810.1049/elp2.12106Modelling of brushless doubly fed reluctance machines based on reluctance network modelEric Duckler Kenmoe Fankem0Clement Junior Kendeg Onla1Wang Xiaoyan2Alix Dountio Tchioffo3Joseph Yves Effa4Department of Physics Faculty of Science University of Ngaoundere Ngaoundere CameroonDepartment of Physics Faculty of Science University of Ngaoundere Ngaoundere CameroonWarwick Manufacturing Group University of Warwick Coventry UKDepartment of Physics Faculty of Science University of Ngaoundere Ngaoundere CameroonDepartment of Physics Faculty of Science University of Ngaoundere Ngaoundere CameroonAbstract The modelling and analysis of Brushless Doubly Fed Reluctance Machines (BDFRMs), taking into account magnetic saturation and rotor movement, by conventional modelling techniques are very difficult, if not impossible, because the two stator windings have different number of poles leading to a complex flux pattern. To overcome this drawback, Finite Element Analysis (FEA) is generally used for modelling and analysing BDFRMs. But it requires a considerable computational time compared with semi‐analytical methods. This article, therefore, steps forward by proposing a new approach to dynamical modelling of BDFRM based on the Reluctance Network Method (RNM), which can enable accurate calculation of the electromagnetic parameters and performances of BDFRMs. Indeed, the reluctance network method offers an interesting compromise between precision and computation time compared to finite element analysis. To validate the proposed model, simulations are carried out and comparison are made with FEA. It is observed that the greatest error between the values of the proposed model and those from FEA is close to 1%. The accuracy in the calculation of electromagnetic parameters, as well as the computational time leads us to the conclusion that the proposed model could be suitable for optimisation and control purposes.https://doi.org/10.1049/elp2.12106 |
| spellingShingle | Eric Duckler Kenmoe Fankem Clement Junior Kendeg Onla Wang Xiaoyan Alix Dountio Tchioffo Joseph Yves Effa Modelling of brushless doubly fed reluctance machines based on reluctance network model IET Electric Power Applications |
| title | Modelling of brushless doubly fed reluctance machines based on reluctance network model |
| title_full | Modelling of brushless doubly fed reluctance machines based on reluctance network model |
| title_fullStr | Modelling of brushless doubly fed reluctance machines based on reluctance network model |
| title_full_unstemmed | Modelling of brushless doubly fed reluctance machines based on reluctance network model |
| title_short | Modelling of brushless doubly fed reluctance machines based on reluctance network model |
| title_sort | modelling of brushless doubly fed reluctance machines based on reluctance network model |
| url | https://doi.org/10.1049/elp2.12106 |
| work_keys_str_mv | AT ericducklerkenmoefankem modellingofbrushlessdoublyfedreluctancemachinesbasedonreluctancenetworkmodel AT clementjuniorkendegonla modellingofbrushlessdoublyfedreluctancemachinesbasedonreluctancenetworkmodel AT wangxiaoyan modellingofbrushlessdoublyfedreluctancemachinesbasedonreluctancenetworkmodel AT alixdountiotchioffo modellingofbrushlessdoublyfedreluctancemachinesbasedonreluctancenetworkmodel AT josephyveseffa modellingofbrushlessdoublyfedreluctancemachinesbasedonreluctancenetworkmodel |