IMPROVED SWITCHING SELECTION FOR DTC OF INDUCTION MOTOR DRIVE USING ARTIFICIAL NEURAL NETWORKS
Direct Torque Control (DTC) is a control technique in AC drive systems to obtain high performance torque ripple. This paper also proposes improvement of the conventional DTC without voltages zeros using the improvement of the switching table and the application of the Artificial Neural Network (ANN)...
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2018-03-01
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| Series: | Acta Electrotechnica et Informatica |
| Subjects: | |
| Online Access: | http://www.aei.tuke.sk/papers/2018/1/04_Benbouhenni.pdf |
| _version_ | 1797716827090976768 |
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| author | Habib BENBOUHENNI |
| author_facet | Habib BENBOUHENNI |
| author_sort | Habib BENBOUHENNI |
| collection | DOAJ |
| description | Direct Torque Control (DTC) is a control technique in AC drive systems to obtain high performance torque ripple. This paper also proposes improvement of the conventional DTC without voltages zeros using the improvement of the switching table and the application of the Artificial Neural Network (ANN) to minimize the torque ripple, stator flux ripple and Total Harmonic Distortion (THD) value of stator current and to get better performance of the induction motor (1MW) controlled by DTC, by using two-level inverter. The comparison with conventional direct torque control, show that the use of the proposed strategies with ANN, reduced the torque ripple, stator flux ripple and total harmonic distortion value of stator current. The validity of the proposed strategies is confirmed by the simulative results. |
| first_indexed | 2024-03-12T08:27:18Z |
| format | Article |
| id | doaj.art-ee075bb8de404df195820e1302e2c906 |
| institution | Directory Open Access Journal |
| issn | 1335-8243 1338-3957 |
| language | English |
| last_indexed | 2024-03-12T08:27:18Z |
| publishDate | 2018-03-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Acta Electrotechnica et Informatica |
| spelling | doaj.art-ee075bb8de404df195820e1302e2c9062023-09-02T18:02:57ZengSciendoActa Electrotechnica et Informatica1335-82431338-39572018-03-01181263410.15546/aeei-2018-0004IMPROVED SWITCHING SELECTION FOR DTC OF INDUCTION MOTOR DRIVE USING ARTIFICIAL NEURAL NETWORKSHabib BENBOUHENNI0Ecole Nationale Polytechnique d’Oran Maurice Audin, Oran, AlgeriaDirect Torque Control (DTC) is a control technique in AC drive systems to obtain high performance torque ripple. This paper also proposes improvement of the conventional DTC without voltages zeros using the improvement of the switching table and the application of the Artificial Neural Network (ANN) to minimize the torque ripple, stator flux ripple and Total Harmonic Distortion (THD) value of stator current and to get better performance of the induction motor (1MW) controlled by DTC, by using two-level inverter. The comparison with conventional direct torque control, show that the use of the proposed strategies with ANN, reduced the torque ripple, stator flux ripple and total harmonic distortion value of stator current. The validity of the proposed strategies is confirmed by the simulative results.http://www.aei.tuke.sk/papers/2018/1/04_Benbouhenni.pdfdirect torque controlswitching tableartificial neural networktotal harmonic distortionvoltages zerostwo-level inverterinduction motor |
| spellingShingle | Habib BENBOUHENNI IMPROVED SWITCHING SELECTION FOR DTC OF INDUCTION MOTOR DRIVE USING ARTIFICIAL NEURAL NETWORKS Acta Electrotechnica et Informatica direct torque control switching table artificial neural network total harmonic distortion voltages zeros two-level inverter induction motor |
| title | IMPROVED SWITCHING SELECTION FOR DTC OF INDUCTION MOTOR DRIVE USING ARTIFICIAL NEURAL NETWORKS |
| title_full | IMPROVED SWITCHING SELECTION FOR DTC OF INDUCTION MOTOR DRIVE USING ARTIFICIAL NEURAL NETWORKS |
| title_fullStr | IMPROVED SWITCHING SELECTION FOR DTC OF INDUCTION MOTOR DRIVE USING ARTIFICIAL NEURAL NETWORKS |
| title_full_unstemmed | IMPROVED SWITCHING SELECTION FOR DTC OF INDUCTION MOTOR DRIVE USING ARTIFICIAL NEURAL NETWORKS |
| title_short | IMPROVED SWITCHING SELECTION FOR DTC OF INDUCTION MOTOR DRIVE USING ARTIFICIAL NEURAL NETWORKS |
| title_sort | improved switching selection for dtc of induction motor drive using artificial neural networks |
| topic | direct torque control switching table artificial neural network total harmonic distortion voltages zeros two-level inverter induction motor |
| url | http://www.aei.tuke.sk/papers/2018/1/04_Benbouhenni.pdf |
| work_keys_str_mv | AT habibbenbouhenni improvedswitchingselectionfordtcofinductionmotordriveusingartificialneuralnetworks |