An advanced direct torque control for doubly fed induction motor using evolutionary computational techniques
Abstract The doubly-fed induction machine is progressively supplanting the cage machine owing to its superior efficiency in variable-speed applications and improved performance in renewable energy systems. Nonetheless, its complicated mathematical model, derived from the interdependent rotor and sta...
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Nature Portfolio
2025-07-01
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| Online Access: | https://doi.org/10.1038/s41598-025-08287-6 |
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| author | Said Mahfoud Najib El Ouanjli Aziz Derouich Abderrahman El Idrissi Elmostafa Chetouani Azeddine Loulijat Shimaa A. Hussien Mohamed I. Mosaad |
| author_facet | Said Mahfoud Najib El Ouanjli Aziz Derouich Abderrahman El Idrissi Elmostafa Chetouani Azeddine Loulijat Shimaa A. Hussien Mohamed I. Mosaad |
| author_sort | Said Mahfoud |
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| description | Abstract The doubly-fed induction machine is progressively supplanting the cage machine owing to its superior efficiency in variable-speed applications and improved performance in renewable energy systems. Nonetheless, its complicated mathematical model, derived from the interdependent rotor and stator dynamics, necessitates more effective control solutions, such as direct torque control (DTC) in doubly-fed induction motor (DFIM) applications. DTC, particularly when integrated with a simple PID controller offers powerful and dynamic performance; yet, it may result in torque ripples owing to hysteresis control and speed overshoot from abrupt torque demand fluctuations. Moreover, careful fine-tuning of the PID controller parameters is necessary. This paper presents a methodology that integrates DTC-based PID controller with two optimization algorithms, with either Genetic algorithm (GA) or ant colony optimization (ACO). These optimization strategies are designed to optimally tune the PID controller settings for speed control improvements and to address internal and external disturbances. Simulation results show that the new hybrid GA-DTC and ACO-DTC controls significantly improve performance. In particular, ACO-DTC reduces torque ripples by 27.86%, improving stability and extending machine life. These methods offer promising prospects for the industrial application of doubly-fed induction motor control systems. |
| format | Article |
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| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
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| spelling | doaj-art-d9ef6a31a3ce49be9631e7919ebb1a5f2025-08-20T03:45:26ZengNature PortfolioScientific Reports2045-23222025-07-0115112710.1038/s41598-025-08287-6An advanced direct torque control for doubly fed induction motor using evolutionary computational techniquesSaid Mahfoud0Najib El Ouanjli1Aziz Derouich2Abderrahman El Idrissi3Elmostafa Chetouani4Azeddine Loulijat5Shimaa A. Hussien6Mohamed I. Mosaad7Polydisciplinary Laboratory of Sciences, Technologies, and Societies, Higher School of Technology, Sultan Moulay Slimane UniversityElectrical Engineering Department, Higher School of Technology, Moulay Ismail UniversityIndustrial Technologies and Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah UniversityIndustrial Technologies and Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah UniversityLAVETE Laboratory, Systems Analysis and Information Processing Team, Faculty of Science and Technology, Hassan 1st UniversityLaboratory of Mechanical, Computer, Electronics and Telecommunications, Faculty of Sciences and Technology, Hassan First UniversityElectrical Department, College of Engineering, Princess Nourah Bint Abdulrahman UniversityYanbu Industrial College (YIC) Alnahdah, Yanbu Al SinaiyahAbstract The doubly-fed induction machine is progressively supplanting the cage machine owing to its superior efficiency in variable-speed applications and improved performance in renewable energy systems. Nonetheless, its complicated mathematical model, derived from the interdependent rotor and stator dynamics, necessitates more effective control solutions, such as direct torque control (DTC) in doubly-fed induction motor (DFIM) applications. DTC, particularly when integrated with a simple PID controller offers powerful and dynamic performance; yet, it may result in torque ripples owing to hysteresis control and speed overshoot from abrupt torque demand fluctuations. Moreover, careful fine-tuning of the PID controller parameters is necessary. This paper presents a methodology that integrates DTC-based PID controller with two optimization algorithms, with either Genetic algorithm (GA) or ant colony optimization (ACO). These optimization strategies are designed to optimally tune the PID controller settings for speed control improvements and to address internal and external disturbances. Simulation results show that the new hybrid GA-DTC and ACO-DTC controls significantly improve performance. In particular, ACO-DTC reduces torque ripples by 27.86%, improving stability and extending machine life. These methods offer promising prospects for the industrial application of doubly-fed induction motor control systems.https://doi.org/10.1038/s41598-025-08287-6Doubly fed induction motorDirect torque controlGenetic algorithmAnt Colony Optimization |
| spellingShingle | Said Mahfoud Najib El Ouanjli Aziz Derouich Abderrahman El Idrissi Elmostafa Chetouani Azeddine Loulijat Shimaa A. Hussien Mohamed I. Mosaad An advanced direct torque control for doubly fed induction motor using evolutionary computational techniques Scientific Reports Doubly fed induction motor Direct torque control Genetic algorithm Ant Colony Optimization |
| title | An advanced direct torque control for doubly fed induction motor using evolutionary computational techniques |
| title_full | An advanced direct torque control for doubly fed induction motor using evolutionary computational techniques |
| title_fullStr | An advanced direct torque control for doubly fed induction motor using evolutionary computational techniques |
| title_full_unstemmed | An advanced direct torque control for doubly fed induction motor using evolutionary computational techniques |
| title_short | An advanced direct torque control for doubly fed induction motor using evolutionary computational techniques |
| title_sort | advanced direct torque control for doubly fed induction motor using evolutionary computational techniques |
| topic | Doubly fed induction motor Direct torque control Genetic algorithm Ant Colony Optimization |
| url | https://doi.org/10.1038/s41598-025-08287-6 |
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