Dual Direct Torque Control Based on Artificial Neural Network
Abstract:
The main aim of the present paper focuses on the review and the development of the origin Direct Torque Control (DTC) approach which is applied on the doubly fed induction machine (DFIM). In this developed approach a novel DFIM control strategy is proposed based on the Dual Direct Torque Control (DDTC) using two ANN controllers to avoid the use of the switching tables. Indeed, the developed approach aims to ensure the minimization of the torque and to improve the motor performance. The simulation results show clearly that a significant improvement in the torque dynamic and in the flux responses are ensured when compared to the conventional direct torque control method.
Résumé :
L'objectif principal du présent document est d'examiner et d'élaborer l'approche de contrôle du couple direct d'origine (DTC) qui est appliquée à la machine à induction à double alimentation. (DFIM). Dans cette approche développée, une nouvelle stratégie de contrôle DFIM est proposée basée sur le Dual Direct Torque Control (DDTC) utilisant deux contrôleurs ANN pour éviter l'utilisation des tables de commutation. En effet, l'approche développée vise à assurer la réduction du couple et à améliorer les performances motrices. Les résultats de la simulation montrent clairement qu'une amélioration significative de la dynamique du couple et des réponses de flux est assurée par rapport à la méthode conventionnelle de contrôle du couple direct.
Published in:
2018
3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS)
Conference
Location: Tebessa, Algeria
Index Terms
Artificial Neural Network, Direct Control, Torque Control, Dual Control, Direct Torque Control, Doubly-fed Induction Machines, Simulation Results, Control Strategy, Hidden Layer, Neurons In Layer, Phase Voltage, Flux Estimates, Voltage Vector, Induction Motor, Electromagnetic Torque, Torque Ripple, Voltage Source Inverter, Magnitude Of Flux, Stator Current, Stationary Reference, Stator Flux, Rotor Flux, Magnitude Of Torque, Hysteresis Control, Feed-forward Back-propagation, Stationary Reference Frame, Neural Network Control, Rotor Winding, Control Techniques
Cite this:
S.
KHADAR and A. KOUZOU, "Dual Direct Torque Control of Doubly Fed Induction
Machine using Artificial Neural Network," 2018 3rd International
Conference on Pattern Analysis and Intelligent Systems (PAIS), Tebessa,
Algeria, 2018, pp. 1-7, doi: 10.1109/PAIS.2018.8598497.