Signal-Based Position Sensor Fault Diagnosis Applied to PMSM Drives for Fault-Tolerant Operation in Electric Vehicles
This paper presents a novel scheme for fast fault detection and isolation (FDI) of position sensors based on signal processing and fault-tolerant control (FTC) for speed tracking of an electric vehicle (EV) propelled by a permanent magnet synchronous motor (PMSM). The fault is detected using a compa...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/14/5/123 |
| _version_ | 1797598020020207616 |
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| author | Sankhadip Saha Urmila Kar |
| author_facet | Sankhadip Saha Urmila Kar |
| author_sort | Sankhadip Saha |
| collection | DOAJ |
| description | This paper presents a novel scheme for fast fault detection and isolation (FDI) of position sensors based on signal processing and fault-tolerant control (FTC) for speed tracking of an electric vehicle (EV) propelled by a permanent magnet synchronous motor (PMSM). The fault is detected using a comparison algorithm between the measured and delayed rotor speed signals. The proposed scheme is more practical for diagnosing faults over a wide speed range since it does not use estimated speed value. In addition, to ensure continuous vehicle propulsion and to retain effective field-oriented control of the EV-PMSM in the event of a fault, a reconfiguration mechanism with back-EMF based position observer is employed. Rapid detection of position sensor failure is necessary for a seamless transition from sensored to sensorless control. Furthermore, a comparative analysis between sliding mode observer and flux observer for motor speed control is also presented in the context of EVs. The effectiveness of the position sensors for FDI and FTC is validated in the presence of typical vehicular disturbances, such as uneven road conditions and wind disturbance force. Finally, to validate the proposed approach experimentally in a real-world EV environment, this paper utilizes a scaled-down testbed with a TMS320F28379D DSP for the motor control of the EV. |
| first_indexed | 2024-03-11T03:13:30Z |
| format | Article |
| id | doaj.art-7809042043e34d04b6a0a3f04880d6f9 |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-03-11T03:13:30Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-7809042043e34d04b6a0a3f04880d6f92023-11-18T03:43:10ZengMDPI AGWorld Electric Vehicle Journal2032-66532023-05-0114512310.3390/wevj14050123Signal-Based Position Sensor Fault Diagnosis Applied to PMSM Drives for Fault-Tolerant Operation in Electric VehiclesSankhadip Saha0Urmila Kar1Department of Electrical Engineering, Netaji Subhash Engineering College, Technocity, Kolkata 700152, IndiaDepartment of Education and Management, National Institute of Technical Teachers’ Training & Research, Kolkata 700106, IndiaThis paper presents a novel scheme for fast fault detection and isolation (FDI) of position sensors based on signal processing and fault-tolerant control (FTC) for speed tracking of an electric vehicle (EV) propelled by a permanent magnet synchronous motor (PMSM). The fault is detected using a comparison algorithm between the measured and delayed rotor speed signals. The proposed scheme is more practical for diagnosing faults over a wide speed range since it does not use estimated speed value. In addition, to ensure continuous vehicle propulsion and to retain effective field-oriented control of the EV-PMSM in the event of a fault, a reconfiguration mechanism with back-EMF based position observer is employed. Rapid detection of position sensor failure is necessary for a seamless transition from sensored to sensorless control. Furthermore, a comparative analysis between sliding mode observer and flux observer for motor speed control is also presented in the context of EVs. The effectiveness of the position sensors for FDI and FTC is validated in the presence of typical vehicular disturbances, such as uneven road conditions and wind disturbance force. Finally, to validate the proposed approach experimentally in a real-world EV environment, this paper utilizes a scaled-down testbed with a TMS320F28379D DSP for the motor control of the EV.https://www.mdpi.com/2032-6653/14/5/123electric vehicle (EV)observer-based sensorless controlposition sensor fault tolerancepermanent magnet synchronous motors (PMSM)road roughnesswind disturbance |
| spellingShingle | Sankhadip Saha Urmila Kar Signal-Based Position Sensor Fault Diagnosis Applied to PMSM Drives for Fault-Tolerant Operation in Electric Vehicles World Electric Vehicle Journal electric vehicle (EV) observer-based sensorless control position sensor fault tolerance permanent magnet synchronous motors (PMSM) road roughness wind disturbance |
| title | Signal-Based Position Sensor Fault Diagnosis Applied to PMSM Drives for Fault-Tolerant Operation in Electric Vehicles |
| title_full | Signal-Based Position Sensor Fault Diagnosis Applied to PMSM Drives for Fault-Tolerant Operation in Electric Vehicles |
| title_fullStr | Signal-Based Position Sensor Fault Diagnosis Applied to PMSM Drives for Fault-Tolerant Operation in Electric Vehicles |
| title_full_unstemmed | Signal-Based Position Sensor Fault Diagnosis Applied to PMSM Drives for Fault-Tolerant Operation in Electric Vehicles |
| title_short | Signal-Based Position Sensor Fault Diagnosis Applied to PMSM Drives for Fault-Tolerant Operation in Electric Vehicles |
| title_sort | signal based position sensor fault diagnosis applied to pmsm drives for fault tolerant operation in electric vehicles |
| topic | electric vehicle (EV) observer-based sensorless control position sensor fault tolerance permanent magnet synchronous motors (PMSM) road roughness wind disturbance |
| url | https://www.mdpi.com/2032-6653/14/5/123 |
| work_keys_str_mv | AT sankhadipsaha signalbasedpositionsensorfaultdiagnosisappliedtopmsmdrivesforfaulttolerantoperationinelectricvehicles AT urmilakar signalbasedpositionsensorfaultdiagnosisappliedtopmsmdrivesforfaulttolerantoperationinelectricvehicles |