Design and Analysis of Current Sensor Fault Detection Mechanisms for PMSM Drives Based on Neural Networks
This paper describes a vector-controlled Permanent Magnet Synchronous Motor (PMSM) drive system with the current sensor fault detection mechanism. In general, the control structure is based on the well-known Field Oriented Control (FOC) algorithm. The structure is equipped with an additional algorit...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Designs |
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| Online Access: | https://www.mdpi.com/2411-9660/6/1/18 |
| _version_ | 1797481357598785536 |
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| author | Kamila Jankowska Mateusz Dybkowski |
| author_facet | Kamila Jankowska Mateusz Dybkowski |
| author_sort | Kamila Jankowska |
| collection | DOAJ |
| description | This paper describes a vector-controlled Permanent Magnet Synchronous Motor (PMSM) drive system with the current sensor fault detection mechanism. In general, the control structure is based on the well-known Field Oriented Control (FOC) algorithm. The structure is equipped with an additional algorithm for current sensor fault detection based on a neural network. The presented control structure is able to detect typical current sensor faults, such as lack of signal, intermittent signal, variable gain and signal noise. The application of the NN detector guarantees a faster detection of the sensor fault than classical detectors based on algorithmic methods or logical systems. This work focuses on presenting the methodology of designing detectors and their analysis, based solely on simulation analysis. The simulation results, conducted in the Matlab/Simulink environment, are presented for the above-mentioned faults in phase A and phase B for different speed conditions. |
| first_indexed | 2024-03-09T22:13:26Z |
| format | Article |
| id | doaj.art-7b75634adbb54b01a24bf372c534b1ad |
| institution | Directory Open Access Journal |
| issn | 2411-9660 |
| language | English |
| last_indexed | 2024-03-09T22:13:26Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Designs |
| spelling | doaj.art-7b75634adbb54b01a24bf372c534b1ad2023-11-23T19:28:25ZengMDPI AGDesigns2411-96602022-02-01611810.3390/designs6010018Design and Analysis of Current Sensor Fault Detection Mechanisms for PMSM Drives Based on Neural NetworksKamila Jankowska0Mateusz Dybkowski1Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and Technology, ul. Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, PolandDepartment of Electrical Machines, Drives and Measurements, Wroclaw University of Science and Technology, ul. Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, PolandThis paper describes a vector-controlled Permanent Magnet Synchronous Motor (PMSM) drive system with the current sensor fault detection mechanism. In general, the control structure is based on the well-known Field Oriented Control (FOC) algorithm. The structure is equipped with an additional algorithm for current sensor fault detection based on a neural network. The presented control structure is able to detect typical current sensor faults, such as lack of signal, intermittent signal, variable gain and signal noise. The application of the NN detector guarantees a faster detection of the sensor fault than classical detectors based on algorithmic methods or logical systems. This work focuses on presenting the methodology of designing detectors and their analysis, based solely on simulation analysis. The simulation results, conducted in the Matlab/Simulink environment, are presented for the above-mentioned faults in phase A and phase B for different speed conditions.https://www.mdpi.com/2411-9660/6/1/18PMSMFTCcurrent sensorneural networks |
| spellingShingle | Kamila Jankowska Mateusz Dybkowski Design and Analysis of Current Sensor Fault Detection Mechanisms for PMSM Drives Based on Neural Networks Designs PMSM FTC current sensor neural networks |
| title | Design and Analysis of Current Sensor Fault Detection Mechanisms for PMSM Drives Based on Neural Networks |
| title_full | Design and Analysis of Current Sensor Fault Detection Mechanisms for PMSM Drives Based on Neural Networks |
| title_fullStr | Design and Analysis of Current Sensor Fault Detection Mechanisms for PMSM Drives Based on Neural Networks |
| title_full_unstemmed | Design and Analysis of Current Sensor Fault Detection Mechanisms for PMSM Drives Based on Neural Networks |
| title_short | Design and Analysis of Current Sensor Fault Detection Mechanisms for PMSM Drives Based on Neural Networks |
| title_sort | design and analysis of current sensor fault detection mechanisms for pmsm drives based on neural networks |
| topic | PMSM FTC current sensor neural networks |
| url | https://www.mdpi.com/2411-9660/6/1/18 |
| work_keys_str_mv | AT kamilajankowska designandanalysisofcurrentsensorfaultdetectionmechanismsforpmsmdrivesbasedonneuralnetworks AT mateuszdybkowski designandanalysisofcurrentsensorfaultdetectionmechanismsforpmsmdrivesbasedonneuralnetworks |