An Improved Direct Torque Control with an Advanced Broken-Bar Fault Diagnosis for Induction Motor Drives - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue International Transactions on Electrical Energy Systems Année : 2023

An Improved Direct Torque Control with an Advanced Broken-Bar Fault Diagnosis for Induction Motor Drives

Résumé

Tis paper presents an advanced strategy combining fuzzy logic and artifcial neural networks (ANNs) for direct torque control (DTC) and broken-bar fault diagnosis in induction motors. More specifcally, a fuzzy-based controller is used to simultaneously minimize the stator fux 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. Te fault detection is performed by analyzing the induction motor’s stator current by using the combined techniques HT-DWT. Te efect of a broken-bar fault on the machine varies according to the number and position of the broken bars. Te neural detector was used in order to identify the number of broken bars through only one current measurement. Te efectiveness of the developed control has been verifed 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.
Fichier principal
Vignette du fichier
35a2fe897b2a3dc6719efe25c4da4dc2c6ec.pdf (1.76 Mo) Télécharger le fichier
Origine : Publication financée par une institution
Licence : CC BY - Paternité

Dates et versions

hal-04501528 , version 1 (12-03-2024)

Licence

Paternité

Identifiants

Citer

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, 2023, 2023, pp.1 - 18. ⟨10.1155/2023/8816896⟩. ⟨hal-04501528⟩
0 Consultations
1 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More