An Improved Direct Torque Control with an Advanced Broken-Bar Fault Diagnosis for Induction Motor Drives
This paper presents an advanced strategy combining fuzzy logic and artificial neural networks (ANNs) for direct torque control (DTC) and broken-bar fault diagnosis in induction motors. More specifically, a fuzzy-based controller is used to simultaneously minimize the stator flux and the electromagne...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2023/8816896 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832547206323765248 |
|---|---|
| author | Oualid Aissa Abderrahim Reffas Hicham Talhaoui Djamel Ziane Abdelhakim Saim |
| author_facet | Oualid Aissa Abderrahim Reffas Hicham Talhaoui Djamel Ziane Abdelhakim Saim |
| author_sort | Oualid Aissa |
| collection | DOAJ |
| description | This paper presents an advanced strategy combining fuzzy logic and artificial neural networks (ANNs) for direct torque control (DTC) and broken-bar fault diagnosis in induction motors. More specifically, a fuzzy-based controller is used to simultaneously minimize the stator flux and the electromagnetic torque ripples. A neural switching table is then proposed to achieve the interface inverter control. Besides, a closed-loop broken-bar fault detection strategy based on the Hilbert technique (HT) with the discrete wavelet transform (DWT) and ANNs is proposed. The fault detection is performed by analyzing the induction motor’s stator current by using the combined techniques HT-DWT. The effect of a broken-bar fault on the machine varies according to the number and position of the broken bars. The neural detector was used in order to identify the number of broken bars through only one current measurement. The effectiveness of the developed control has been verified using MATLAB/Simulink and real-time simulation in OPAL-RT 4510. Obtained results show improved performances in terms of torque ripple minimization and stator current quality, evaluated, respectively, at 43.75% and 41.26% as well as a rigorous motor health monitoring. |
| format | Article |
| id | doaj-art-2a71b0ccfe5648189599c88a317ba8c4 |
| institution | Kabale University |
| issn | 2050-7038 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-2a71b0ccfe5648189599c88a317ba8c42025-02-03T06:45:38ZengWileyInternational Transactions on Electrical Energy Systems2050-70382023-01-01202310.1155/2023/8816896An Improved Direct Torque Control with an Advanced Broken-Bar Fault Diagnosis for Induction Motor DrivesOualid Aissa0Abderrahim Reffas1Hicham Talhaoui2Djamel Ziane3Abdelhakim Saim4LPMRN LaboratoryLPMRN LaboratoryLPMRN LaboratoryIREENA LaboratoryIREENA LaboratoryThis paper presents an advanced strategy combining fuzzy logic and artificial neural networks (ANNs) for direct torque control (DTC) and broken-bar fault diagnosis in induction motors. More specifically, a fuzzy-based controller is used to simultaneously minimize the stator flux and the electromagnetic torque ripples. A neural switching table is then proposed to achieve the interface inverter control. Besides, a closed-loop broken-bar fault detection strategy based on the Hilbert technique (HT) with the discrete wavelet transform (DWT) and ANNs is proposed. The fault detection is performed by analyzing the induction motor’s stator current by using the combined techniques HT-DWT. The effect of a broken-bar fault on the machine varies according to the number and position of the broken bars. The neural detector was used in order to identify the number of broken bars through only one current measurement. The effectiveness of the developed control has been verified using MATLAB/Simulink and real-time simulation in OPAL-RT 4510. Obtained results show improved performances in terms of torque ripple minimization and stator current quality, evaluated, respectively, at 43.75% and 41.26% as well as a rigorous motor health monitoring.http://dx.doi.org/10.1155/2023/8816896 |
| spellingShingle | Oualid Aissa Abderrahim Reffas Hicham Talhaoui Djamel Ziane Abdelhakim Saim An Improved Direct Torque Control with an Advanced Broken-Bar Fault Diagnosis for Induction Motor Drives International Transactions on Electrical Energy Systems |
| title | An Improved Direct Torque Control with an Advanced Broken-Bar Fault Diagnosis for Induction Motor Drives |
| title_full | An Improved Direct Torque Control with an Advanced Broken-Bar Fault Diagnosis for Induction Motor Drives |
| title_fullStr | An Improved Direct Torque Control with an Advanced Broken-Bar Fault Diagnosis for Induction Motor Drives |
| title_full_unstemmed | An Improved Direct Torque Control with an Advanced Broken-Bar Fault Diagnosis for Induction Motor Drives |
| title_short | An Improved Direct Torque Control with an Advanced Broken-Bar Fault Diagnosis for Induction Motor Drives |
| title_sort | improved direct torque control with an advanced broken bar fault diagnosis for induction motor drives |
| url | http://dx.doi.org/10.1155/2023/8816896 |
| work_keys_str_mv | AT oualidaissa animproveddirecttorquecontrolwithanadvancedbrokenbarfaultdiagnosisforinductionmotordrives AT abderrahimreffas animproveddirecttorquecontrolwithanadvancedbrokenbarfaultdiagnosisforinductionmotordrives AT hichamtalhaoui animproveddirecttorquecontrolwithanadvancedbrokenbarfaultdiagnosisforinductionmotordrives AT djamelziane animproveddirecttorquecontrolwithanadvancedbrokenbarfaultdiagnosisforinductionmotordrives AT abdelhakimsaim animproveddirecttorquecontrolwithanadvancedbrokenbarfaultdiagnosisforinductionmotordrives AT oualidaissa improveddirecttorquecontrolwithanadvancedbrokenbarfaultdiagnosisforinductionmotordrives AT abderrahimreffas improveddirecttorquecontrolwithanadvancedbrokenbarfaultdiagnosisforinductionmotordrives AT hichamtalhaoui improveddirecttorquecontrolwithanadvancedbrokenbarfaultdiagnosisforinductionmotordrives AT djamelziane improveddirecttorquecontrolwithanadvancedbrokenbarfaultdiagnosisforinductionmotordrives AT abdelhakimsaim improveddirecttorquecontrolwithanadvancedbrokenbarfaultdiagnosisforinductionmotordrives |