A New Robust Direct Torque Control Based on a Genetic Algorithm for a Doubly-Fed Induction Motor: Experimental Validation
The parametric variation of nonlinear systems remains a significant drawback of automatic system controllers. The Proportional–Integral(PI) and Proportional–Integral–Derivative (PID) are the most commonly used controllers in industrial control systems. However, with the evolution of these systems, s...
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MDPI AG
2022-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/15/5384 |
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| author | Said Mahfoud Aziz Derouich Najib El Ouanjli Mahmoud A. Mossa Mahajan Sagar Bhaskar Ngo Kim Lan Nguyen Vu Quynh |
| author_facet | Said Mahfoud Aziz Derouich Najib El Ouanjli Mahmoud A. Mossa Mahajan Sagar Bhaskar Ngo Kim Lan Nguyen Vu Quynh |
| author_sort | Said Mahfoud |
| collection | DOAJ |
| description | The parametric variation of nonlinear systems remains a significant drawback of automatic system controllers. The Proportional–Integral(PI) and Proportional–Integral–Derivative (PID) are the most commonly used controllers in industrial control systems. However, with the evolution of these systems, such controllers have become insufficient to compete with the complexity of the systems. This problem can be solved with the help of artificial intelligence, and especially with the use of optimization algorithms, which allow for variable gains in PID controllers that adapt to parametric variation. This article presents an analytical and experimental study of the Direct Torque Control (DTC) of a Doubly-Fed Induction Motor (DFIM). The speed adaptation of the DFIM is achieved using a PID controller, which is characterized by overshoots in the speed and ripples in the electromagnetic torque. The Genetic Algorithm (GA) within the DTC shows very good robustness in speed and torque by reducing torque ripples and suppressing overshoots. The simulation of the GA-DTC hybrid control in MATLAB/Simulink confirms the improvement offered by this strategy. The validation and implementation of this strategy on the dSPACE DS1104 board are in good agreement with the simulation results and theoretical analysis. |
| first_indexed | 2024-03-09T12:40:57Z |
| format | Article |
| id | doaj.art-7f96422647de41efbfb9daf3da29b8ed |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T12:40:57Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-7f96422647de41efbfb9daf3da29b8ed2023-11-30T22:18:30ZengMDPI AGEnergies1996-10732022-07-011515538410.3390/en15155384A New Robust Direct Torque Control Based on a Genetic Algorithm for a Doubly-Fed Induction Motor: Experimental ValidationSaid Mahfoud0Aziz Derouich1Najib El Ouanjli2Mahmoud A. Mossa3Mahajan Sagar Bhaskar4Ngo Kim Lan5Nguyen Vu Quynh6Industrial Technologies and Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez 30000, MoroccoIndustrial Technologies and Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez 30000, MoroccoIndustrial Technologies and Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez 30000, MoroccoElectrical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, EgyptRenewable Energy Lab, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi ArabiaElectrical Department, Dong Nai Technical College, Bien Hoa 810000, VietnamElectrical and Electronics Department, Lac Hong University, Bien Hoa 810000, VietnamThe parametric variation of nonlinear systems remains a significant drawback of automatic system controllers. The Proportional–Integral(PI) and Proportional–Integral–Derivative (PID) are the most commonly used controllers in industrial control systems. However, with the evolution of these systems, such controllers have become insufficient to compete with the complexity of the systems. This problem can be solved with the help of artificial intelligence, and especially with the use of optimization algorithms, which allow for variable gains in PID controllers that adapt to parametric variation. This article presents an analytical and experimental study of the Direct Torque Control (DTC) of a Doubly-Fed Induction Motor (DFIM). The speed adaptation of the DFIM is achieved using a PID controller, which is characterized by overshoots in the speed and ripples in the electromagnetic torque. The Genetic Algorithm (GA) within the DTC shows very good robustness in speed and torque by reducing torque ripples and suppressing overshoots. The simulation of the GA-DTC hybrid control in MATLAB/Simulink confirms the improvement offered by this strategy. The validation and implementation of this strategy on the dSPACE DS1104 board are in good agreement with the simulation results and theoretical analysis.https://www.mdpi.com/1996-1073/15/15/5384Genetic Algorithm–Direct Torque Control (GA–DTC)dSPACE DS1104control deskDoubly-Fed Induction Motor (DFIM) |
| spellingShingle | Said Mahfoud Aziz Derouich Najib El Ouanjli Mahmoud A. Mossa Mahajan Sagar Bhaskar Ngo Kim Lan Nguyen Vu Quynh A New Robust Direct Torque Control Based on a Genetic Algorithm for a Doubly-Fed Induction Motor: Experimental Validation Energies Genetic Algorithm–Direct Torque Control (GA–DTC) dSPACE DS1104 control desk Doubly-Fed Induction Motor (DFIM) |
| title | A New Robust Direct Torque Control Based on a Genetic Algorithm for a Doubly-Fed Induction Motor: Experimental Validation |
| title_full | A New Robust Direct Torque Control Based on a Genetic Algorithm for a Doubly-Fed Induction Motor: Experimental Validation |
| title_fullStr | A New Robust Direct Torque Control Based on a Genetic Algorithm for a Doubly-Fed Induction Motor: Experimental Validation |
| title_full_unstemmed | A New Robust Direct Torque Control Based on a Genetic Algorithm for a Doubly-Fed Induction Motor: Experimental Validation |
| title_short | A New Robust Direct Torque Control Based on a Genetic Algorithm for a Doubly-Fed Induction Motor: Experimental Validation |
| title_sort | new robust direct torque control based on a genetic algorithm for a doubly fed induction motor experimental validation |
| topic | Genetic Algorithm–Direct Torque Control (GA–DTC) dSPACE DS1104 control desk Doubly-Fed Induction Motor (DFIM) |
| url | https://www.mdpi.com/1996-1073/15/15/5384 |
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