Modified Super-Twisting Algorithm-Based Model Reference Adaptive Observer for Sensorless Control of the Interior Permanent-Magnet Synchronous Motor in Electric Vehicles
In this paper, the model reference adaptive system (MRAS) method has been employed to observe speed in sensorless field-oriented control (FOC) with flux weakening (FW) and maximum torque per ampere (MTPA) operations for the interior permanent-magnet synchronous motor (IPMSM). This paper focuses on t...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-08-01
|
| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/11/9/871 |
| _version_ | 1797579123612188672 |
|---|---|
| author | Aykut Bıçak Ayetül Gelen |
| author_facet | Aykut Bıçak Ayetül Gelen |
| author_sort | Aykut Bıçak |
| collection | DOAJ |
| description | In this paper, the model reference adaptive system (MRAS) method has been employed to observe speed in sensorless field-oriented control (FOC) with flux weakening (FW) and maximum torque per ampere (MTPA) operations for the interior permanent-magnet synchronous motor (IPMSM). This paper focuses on the modified MRAS observer, which is based on the sigmoid function as a switching function and also the adaptive sliding mode coefficient. The sliding mode strategies are employed for the adaptation mechanism instead of the PI controller. The conventional PI-MRAS causes oscillations in rotor speed. To solve this problem, the modified adaptive super-twisting algorithm (STA)-based MRAS method is proposed by utilizing the sigmoid function. The proposed modified MRAS is compared to conventional methods. Additionally, it is examined for performance against the fast terminal sliding mode (FTSM), which is applied to the MRAS as an adaptation mechanism in terms of sliding mode strategies. The modified STA-MRAS is explored under the ECE and EUDC (Extra Urban Driving Cycle) drive cycles for electric vehicle applications. Finally, the obtained results show the validity and capability of the proposed adaptive STA-MRAS in terms of speed tracking. |
| first_indexed | 2024-03-10T22:32:27Z |
| format | Article |
| id | doaj.art-df8b4e1dee0649628bce5a1ceda45731 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-10T22:32:27Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-df8b4e1dee0649628bce5a1ceda457312023-11-19T11:40:29ZengMDPI AGMachines2075-17022023-08-0111987110.3390/machines11090871Modified Super-Twisting Algorithm-Based Model Reference Adaptive Observer for Sensorless Control of the Interior Permanent-Magnet Synchronous Motor in Electric VehiclesAykut Bıçak0Ayetül Gelen1Department of Electrical and Electronics Engineering, Bursa Technical University, Bursa 16310, TurkeyDepartment of Electrical and Electronics Engineering, Bursa Technical University, Bursa 16310, TurkeyIn this paper, the model reference adaptive system (MRAS) method has been employed to observe speed in sensorless field-oriented control (FOC) with flux weakening (FW) and maximum torque per ampere (MTPA) operations for the interior permanent-magnet synchronous motor (IPMSM). This paper focuses on the modified MRAS observer, which is based on the sigmoid function as a switching function and also the adaptive sliding mode coefficient. The sliding mode strategies are employed for the adaptation mechanism instead of the PI controller. The conventional PI-MRAS causes oscillations in rotor speed. To solve this problem, the modified adaptive super-twisting algorithm (STA)-based MRAS method is proposed by utilizing the sigmoid function. The proposed modified MRAS is compared to conventional methods. Additionally, it is examined for performance against the fast terminal sliding mode (FTSM), which is applied to the MRAS as an adaptation mechanism in terms of sliding mode strategies. The modified STA-MRAS is explored under the ECE and EUDC (Extra Urban Driving Cycle) drive cycles for electric vehicle applications. Finally, the obtained results show the validity and capability of the proposed adaptive STA-MRAS in terms of speed tracking.https://www.mdpi.com/2075-1702/11/9/871model reference adaptive system (MRAS)super-twisting algorithm (STA)fast terminal sliding mode (FTSM)maximum torque per ampere (MTPA)interior permanent-magnet synchronous motor (IPMSM)electric vehicle (EV) |
| spellingShingle | Aykut Bıçak Ayetül Gelen Modified Super-Twisting Algorithm-Based Model Reference Adaptive Observer for Sensorless Control of the Interior Permanent-Magnet Synchronous Motor in Electric Vehicles Machines model reference adaptive system (MRAS) super-twisting algorithm (STA) fast terminal sliding mode (FTSM) maximum torque per ampere (MTPA) interior permanent-magnet synchronous motor (IPMSM) electric vehicle (EV) |
| title | Modified Super-Twisting Algorithm-Based Model Reference Adaptive Observer for Sensorless Control of the Interior Permanent-Magnet Synchronous Motor in Electric Vehicles |
| title_full | Modified Super-Twisting Algorithm-Based Model Reference Adaptive Observer for Sensorless Control of the Interior Permanent-Magnet Synchronous Motor in Electric Vehicles |
| title_fullStr | Modified Super-Twisting Algorithm-Based Model Reference Adaptive Observer for Sensorless Control of the Interior Permanent-Magnet Synchronous Motor in Electric Vehicles |
| title_full_unstemmed | Modified Super-Twisting Algorithm-Based Model Reference Adaptive Observer for Sensorless Control of the Interior Permanent-Magnet Synchronous Motor in Electric Vehicles |
| title_short | Modified Super-Twisting Algorithm-Based Model Reference Adaptive Observer for Sensorless Control of the Interior Permanent-Magnet Synchronous Motor in Electric Vehicles |
| title_sort | modified super twisting algorithm based model reference adaptive observer for sensorless control of the interior permanent magnet synchronous motor in electric vehicles |
| topic | model reference adaptive system (MRAS) super-twisting algorithm (STA) fast terminal sliding mode (FTSM) maximum torque per ampere (MTPA) interior permanent-magnet synchronous motor (IPMSM) electric vehicle (EV) |
| url | https://www.mdpi.com/2075-1702/11/9/871 |
| work_keys_str_mv | AT aykutbıcak modifiedsupertwistingalgorithmbasedmodelreferenceadaptiveobserverforsensorlesscontroloftheinteriorpermanentmagnetsynchronousmotorinelectricvehicles AT ayetulgelen modifiedsupertwistingalgorithmbasedmodelreferenceadaptiveobserverforsensorlesscontroloftheinteriorpermanentmagnetsynchronousmotorinelectricvehicles |