Speed Sensorless Control of Hybrid Excitation Axial Field Flux-Switching Permanent-Magnet Machine Based on Model Reference Adaptive System
A novel 6/13-pole hybrid excitation axial field flux-switching permanent magnet machine (HEAFFSPMM) exhibits strong fault tolerance capability, high efficiency, and large torque density. However, merely few research on speed sensorless control in HEAFFSPMM exists. The speed sensorless control method...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8962093/ |
| _version_ | 1819170990648721408 |
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| author | Wei Zhang Zexian Yang Liangguan Zhai Jiale Wang |
| author_facet | Wei Zhang Zexian Yang Liangguan Zhai Jiale Wang |
| author_sort | Wei Zhang |
| collection | DOAJ |
| description | A novel 6/13-pole hybrid excitation axial field flux-switching permanent magnet machine (HEAFFSPMM) exhibits strong fault tolerance capability, high efficiency, and large torque density. However, merely few research on speed sensorless control in HEAFFSPMM exists. The speed sensorless control methods based on model reference adaptive system (MRAS) are studied and compared for the machine to improve the stability and reliability of the system and consequently improve the application of machine in control system. Based on the field-oriented control strategy, the MRAS observer of speed is designed and built by applying stator currents, stator flux linkages, and simplified stator currents. The three speed sensorless control algorithms of MRAS are compared and analyzed by using MATLAB/Simulink simulation and dSPACE1104 experimental platform. Results show that the speed sensorless control algorithm based on simplified stator currents has good control performance and high control accuracy. |
| first_indexed | 2024-12-22T19:44:10Z |
| format | Article |
| id | doaj.art-ac89d0e97d114dd4a37d151e5a6fdc32 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T19:44:10Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-ac89d0e97d114dd4a37d151e5a6fdc322022-12-21T18:14:43ZengIEEEIEEE Access2169-35362020-01-018220132202410.1109/ACCESS.2020.29670988962093Speed Sensorless Control of Hybrid Excitation Axial Field Flux-Switching Permanent-Magnet Machine Based on Model Reference Adaptive SystemWei Zhang0https://orcid.org/0000-0003-2393-6007Zexian Yang1https://orcid.org/0000-0002-9310-7573Liangguan Zhai2https://orcid.org/0000-0002-0430-4867Jiale Wang3https://orcid.org/0000-0003-3213-222XSchool of Electrical Engineering, Nantong University, Nantong, ChinaSchool of Electrical Engineering, Nantong University, Nantong, ChinaSchool of Electrical Engineering, Nantong University, Nantong, ChinaSchool of Electrical Engineering, Nantong University, Nantong, ChinaA novel 6/13-pole hybrid excitation axial field flux-switching permanent magnet machine (HEAFFSPMM) exhibits strong fault tolerance capability, high efficiency, and large torque density. However, merely few research on speed sensorless control in HEAFFSPMM exists. The speed sensorless control methods based on model reference adaptive system (MRAS) are studied and compared for the machine to improve the stability and reliability of the system and consequently improve the application of machine in control system. Based on the field-oriented control strategy, the MRAS observer of speed is designed and built by applying stator currents, stator flux linkages, and simplified stator currents. The three speed sensorless control algorithms of MRAS are compared and analyzed by using MATLAB/Simulink simulation and dSPACE1104 experimental platform. Results show that the speed sensorless control algorithm based on simplified stator currents has good control performance and high control accuracy.https://ieeexplore.ieee.org/document/8962093/Hybrid excitationaxial field flux-switching permanent magnet machinesimplified stator currentmodel reference adaptive systemspeed sensorless control |
| spellingShingle | Wei Zhang Zexian Yang Liangguan Zhai Jiale Wang Speed Sensorless Control of Hybrid Excitation Axial Field Flux-Switching Permanent-Magnet Machine Based on Model Reference Adaptive System IEEE Access Hybrid excitation axial field flux-switching permanent magnet machine simplified stator current model reference adaptive system speed sensorless control |
| title | Speed Sensorless Control of Hybrid Excitation Axial Field Flux-Switching Permanent-Magnet Machine Based on Model Reference Adaptive System |
| title_full | Speed Sensorless Control of Hybrid Excitation Axial Field Flux-Switching Permanent-Magnet Machine Based on Model Reference Adaptive System |
| title_fullStr | Speed Sensorless Control of Hybrid Excitation Axial Field Flux-Switching Permanent-Magnet Machine Based on Model Reference Adaptive System |
| title_full_unstemmed | Speed Sensorless Control of Hybrid Excitation Axial Field Flux-Switching Permanent-Magnet Machine Based on Model Reference Adaptive System |
| title_short | Speed Sensorless Control of Hybrid Excitation Axial Field Flux-Switching Permanent-Magnet Machine Based on Model Reference Adaptive System |
| title_sort | speed sensorless control of hybrid excitation axial field flux switching permanent magnet machine based on model reference adaptive system |
| topic | Hybrid excitation axial field flux-switching permanent magnet machine simplified stator current model reference adaptive system speed sensorless control |
| url | https://ieeexplore.ieee.org/document/8962093/ |
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