Real-Time Implementation of Sensorless DTC-SVM Applied to 4WDEV Using the MRAS Estimator
This article presents the DTC-SVM approach for controlling a sensorless speed induction motor. To implement this approach, a practical prototype is built using a microcontroller, an embedded GPS module, and a memory card to collect real-time data during the driving route, such as road geographical d...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/20/7090 |
| _version_ | 1827721069909245952 |
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| author | Abdelhak Boudallaa Ahmed Belkhadir Mohammed Chennani Driss Belkhayat Youssef Zidani Karim Rhofir |
| author_facet | Abdelhak Boudallaa Ahmed Belkhadir Mohammed Chennani Driss Belkhayat Youssef Zidani Karim Rhofir |
| author_sort | Abdelhak Boudallaa |
| collection | DOAJ |
| description | This article presents the DTC-SVM approach for controlling a sensorless speed induction motor. To implement this approach, a practical prototype is built using a microcontroller, an embedded GPS module, and a memory card to collect real-time data during the driving route, such as road geographical data, speed, and time. These data are then utilized in the laboratory to implement the control law (DTC-SVM) on the electric vehicle. The d-q model of the induction motor is first presented to explain the requirements for calculating the rotor speed. Then, an adaptive model reference system speed estimator is developed based on the rotor flux, along with a controller and DTC-SVM strategy, which are implemented using the dSpace 1104 board to achieve the desired performance. The simulation results demonstrate satisfactory speed regulation with the proposed system. In this study too, an electronic differential system is modeled for the four wheels of an electric vehicle equipped with an integrated motor, all controlled by the DTC-SVM strategy. Vehicle speed and electrical vehicle steering angle variations, as well as wheel speeds estimated by code system, are verified using MATLAB/Simulink simulations. |
| first_indexed | 2024-03-10T21:16:43Z |
| format | Article |
| id | doaj.art-7c14028637e8488b9eaa0dfdf9f4bd9b |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T21:16:43Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-7c14028637e8488b9eaa0dfdf9f4bd9b2023-11-19T16:22:01ZengMDPI AGEnergies1996-10732023-10-011620709010.3390/en16207090Real-Time Implementation of Sensorless DTC-SVM Applied to 4WDEV Using the MRAS EstimatorAbdelhak Boudallaa0Ahmed Belkhadir1Mohammed Chennani2Driss Belkhayat3Youssef Zidani4Karim Rhofir5Laboratoire des Sciences et Techniques Pour l’Ingénieur (LASTI), National School of Applied Sciences (ENSA), Université Sultan Moulay Slimane, Khouribga 25000, MoroccoLaboratoire des Systèmes Electriques, Efficacité Energétique et Télécommunications (LSEEET), Faculty of Sciences and Technologies, Université Cadi Ayyad, P.O. Box 549, Marrakech 40000, MoroccoLaboratoire des Systèmes Electriques, Efficacité Energétique et Télécommunications (LSEEET), Faculty of Sciences and Technologies, Université Cadi Ayyad, P.O. Box 549, Marrakech 40000, MoroccoLaboratoire des Systèmes Electriques, Efficacité Energétique et Télécommunications (LSEEET), Faculty of Sciences and Technologies, Université Cadi Ayyad, P.O. Box 549, Marrakech 40000, MoroccoLaboratoire des Systèmes Electriques, Efficacité Energétique et Télécommunications (LSEEET), Faculty of Sciences and Technologies, Université Cadi Ayyad, P.O. Box 549, Marrakech 40000, MoroccoLaboratoire des Sciences et Techniques Pour l’Ingénieur (LASTI), National School of Applied Sciences (ENSA), Université Sultan Moulay Slimane, Khouribga 25000, MoroccoThis article presents the DTC-SVM approach for controlling a sensorless speed induction motor. To implement this approach, a practical prototype is built using a microcontroller, an embedded GPS module, and a memory card to collect real-time data during the driving route, such as road geographical data, speed, and time. These data are then utilized in the laboratory to implement the control law (DTC-SVM) on the electric vehicle. The d-q model of the induction motor is first presented to explain the requirements for calculating the rotor speed. Then, an adaptive model reference system speed estimator is developed based on the rotor flux, along with a controller and DTC-SVM strategy, which are implemented using the dSpace 1104 board to achieve the desired performance. The simulation results demonstrate satisfactory speed regulation with the proposed system. In this study too, an electronic differential system is modeled for the four wheels of an electric vehicle equipped with an integrated motor, all controlled by the DTC-SVM strategy. Vehicle speed and electrical vehicle steering angle variations, as well as wheel speeds estimated by code system, are verified using MATLAB/Simulink simulations.https://www.mdpi.com/1996-1073/16/20/7090DTC-SVMsensorless speedinduction motoradaptive model reference systemDspace1104electronic differential system |
| spellingShingle | Abdelhak Boudallaa Ahmed Belkhadir Mohammed Chennani Driss Belkhayat Youssef Zidani Karim Rhofir Real-Time Implementation of Sensorless DTC-SVM Applied to 4WDEV Using the MRAS Estimator Energies DTC-SVM sensorless speed induction motor adaptive model reference system Dspace1104 electronic differential system |
| title | Real-Time Implementation of Sensorless DTC-SVM Applied to 4WDEV Using the MRAS Estimator |
| title_full | Real-Time Implementation of Sensorless DTC-SVM Applied to 4WDEV Using the MRAS Estimator |
| title_fullStr | Real-Time Implementation of Sensorless DTC-SVM Applied to 4WDEV Using the MRAS Estimator |
| title_full_unstemmed | Real-Time Implementation of Sensorless DTC-SVM Applied to 4WDEV Using the MRAS Estimator |
| title_short | Real-Time Implementation of Sensorless DTC-SVM Applied to 4WDEV Using the MRAS Estimator |
| title_sort | real time implementation of sensorless dtc svm applied to 4wdev using the mras estimator |
| topic | DTC-SVM sensorless speed induction motor adaptive model reference system Dspace1104 electronic differential system |
| url | https://www.mdpi.com/1996-1073/16/20/7090 |
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