Improved direct torque control of doubly fed induction motor in electric vehicles using fuzzy logic controllers
Conventional Direct Torque Control (DTC) presents challenges such as significant torque ripples and limited adaptability to load variations. These challenges are exacerbated when applied to electric vehicles (EVs) due to changes in driving speed and the load torque that depends on road conditions. I...
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| Language: | English |
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Elsevier
2025-03-01
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| Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671124004595 |
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| author | Ahmed Chantoufi Aziz Derouich Najib El Ouanjli Said Mahfoud Abderrahman El Idrissi |
| author_facet | Ahmed Chantoufi Aziz Derouich Najib El Ouanjli Said Mahfoud Abderrahman El Idrissi |
| author_sort | Ahmed Chantoufi |
| collection | DOAJ |
| description | Conventional Direct Torque Control (DTC) presents challenges such as significant torque ripples and limited adaptability to load variations. These challenges are exacerbated when applied to electric vehicles (EVs) due to changes in driving speed and the load torque that depends on road conditions. In this context, this work aims to improve the DTC of a Doubly Fed Induction Motor (DFIM) used for electric propulsion. Hysteresis comparators and the control table, responsible for the ripples in conventional DTC, have been replaced by fuzzy logic controllers. Additionally, a fuzzy logic speed controller has been designed to ensure better speed tracking across different ranges (low, medium, and high speed). Simulations performed using Matlab/Simulink allowed for a comparison of the proposed control strategy with conventional DTC. The results show a reduction of 42 % in torque ripples. Furthermore, the proposed control strategy does not show any overshoot compared to the conventional DTC strategy, which shows an overshoot of 1.5 km/h. This improves adaptability to load variations and the precision of dynamic response, optimizing the overall vehicle performance. These improvements result in smoother driving and increased overall efficiency of EVs, demonstrating the practicality and effectiveness of the fuzzy logic control strategy for electric propulsion applications. |
| format | Article |
| id | doaj-art-00b9535dad9e4f09b47e5338138bae1c |
| institution | Kabale University |
| issn | 2772-6711 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| spelling | doaj-art-00b9535dad9e4f09b47e5338138bae1c2024-12-18T08:55:09ZengElseviere-Prime: Advances in Electrical Engineering, Electronics and Energy2772-67112025-03-0111100882Improved direct torque control of doubly fed induction motor in electric vehicles using fuzzy logic controllersAhmed Chantoufi0Aziz Derouich1Najib El Ouanjli2Said Mahfoud3Abderrahman El Idrissi4Industrial Technologies and Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez, Morocco; Corresponding author.Industrial Technologies and Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez, MoroccoElectrical Engineering Department, Higher School of Technology, Moulay Ismail University, Meknes, MoroccoPolydisciplinary Laboratory of Sciences, Technologies, and Societies, Higher School of Technology, Sultan Moulay Slimane University, Khenifra 54000, MoroccoIndustrial Technologies and Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez, MoroccoConventional Direct Torque Control (DTC) presents challenges such as significant torque ripples and limited adaptability to load variations. These challenges are exacerbated when applied to electric vehicles (EVs) due to changes in driving speed and the load torque that depends on road conditions. In this context, this work aims to improve the DTC of a Doubly Fed Induction Motor (DFIM) used for electric propulsion. Hysteresis comparators and the control table, responsible for the ripples in conventional DTC, have been replaced by fuzzy logic controllers. Additionally, a fuzzy logic speed controller has been designed to ensure better speed tracking across different ranges (low, medium, and high speed). Simulations performed using Matlab/Simulink allowed for a comparison of the proposed control strategy with conventional DTC. The results show a reduction of 42 % in torque ripples. Furthermore, the proposed control strategy does not show any overshoot compared to the conventional DTC strategy, which shows an overshoot of 1.5 km/h. This improves adaptability to load variations and the precision of dynamic response, optimizing the overall vehicle performance. These improvements result in smoother driving and increased overall efficiency of EVs, demonstrating the practicality and effectiveness of the fuzzy logic control strategy for electric propulsion applications.http://www.sciencedirect.com/science/article/pii/S2772671124004595Electric vehicleDirect torque controlDoubly feed induction motorFuzzy logic |
| spellingShingle | Ahmed Chantoufi Aziz Derouich Najib El Ouanjli Said Mahfoud Abderrahman El Idrissi Improved direct torque control of doubly fed induction motor in electric vehicles using fuzzy logic controllers e-Prime: Advances in Electrical Engineering, Electronics and Energy Electric vehicle Direct torque control Doubly feed induction motor Fuzzy logic |
| title | Improved direct torque control of doubly fed induction motor in electric vehicles using fuzzy logic controllers |
| title_full | Improved direct torque control of doubly fed induction motor in electric vehicles using fuzzy logic controllers |
| title_fullStr | Improved direct torque control of doubly fed induction motor in electric vehicles using fuzzy logic controllers |
| title_full_unstemmed | Improved direct torque control of doubly fed induction motor in electric vehicles using fuzzy logic controllers |
| title_short | Improved direct torque control of doubly fed induction motor in electric vehicles using fuzzy logic controllers |
| title_sort | improved direct torque control of doubly fed induction motor in electric vehicles using fuzzy logic controllers |
| topic | Electric vehicle Direct torque control Doubly feed induction motor Fuzzy logic |
| url | http://www.sciencedirect.com/science/article/pii/S2772671124004595 |
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