[ Une nouvelle stratégie de régulation intelligente d'un moteur à réluctance variable ]
Volume 9, Issue 4, December 2014, Pages 1450–1458
Walid Amri1, Mohamed Salah Salhi2, and Abdessattar Ben Amor3
1 Physiques and Instrumentation Department, Tunis-Carthage University, National Institute of Applied Sciences and Technology, Tunis, Tunisia
2 Electrical Engineering Department, National engineering school of Tunis, University of Tunis el Manar, Tunis, Tunisia
3 Physiques and Instrumentation Department, Tunis-Carthage University, National Institute of Applied Sciences and Technology, Tunis, Tunisia
Original language: French
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The use of systems with variable reluctance is nowadays very replied in the industrial fields. Despite this enormous expansion, they present limitations to fill at their controls. It is for this reason that the study of such a system is a of reflection and research that we have considered important to delve deeply into. Our study then summarizes the conception of an approach that aims to facilitate the control of variable reluctance system.
The proposed approach is based on an intelligent software sensor, reducing the overall cost of the control system and promoting the simultaneous processing of a large number of information received from the actuator. Apart from this, the integration of an evolutionary intelligent regulator will retrieve the optimal useful output.
Author Keywords: Variable reluctance motor, neural Network, smart sensor, intelligent evolutionary regulator.
Volume 9, Issue 4, December 2014, Pages 1450–1458
Walid Amri1, Mohamed Salah Salhi2, and Abdessattar Ben Amor3
1 Physiques and Instrumentation Department, Tunis-Carthage University, National Institute of Applied Sciences and Technology, Tunis, Tunisia
2 Electrical Engineering Department, National engineering school of Tunis, University of Tunis el Manar, Tunis, Tunisia
3 Physiques and Instrumentation Department, Tunis-Carthage University, National Institute of Applied Sciences and Technology, Tunis, Tunisia
Original language: French
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The use of systems with variable reluctance is nowadays very replied in the industrial fields. Despite this enormous expansion, they present limitations to fill at their controls. It is for this reason that the study of such a system is a of reflection and research that we have considered important to delve deeply into. Our study then summarizes the conception of an approach that aims to facilitate the control of variable reluctance system.
The proposed approach is based on an intelligent software sensor, reducing the overall cost of the control system and promoting the simultaneous processing of a large number of information received from the actuator. Apart from this, the integration of an evolutionary intelligent regulator will retrieve the optimal useful output.
Author Keywords: Variable reluctance motor, neural Network, smart sensor, intelligent evolutionary regulator.
Abstract: (french)
L'utilisation des systèmes à réluctance variable est de nos jours, très répondue dans la vie des industries. Malgré cette énorme expansion, ces derniers présentent des limites à combler au niveau de leurs contrôles. C'est pour cette raison, que l'étude des tels systèmes constitue un sujet de réflexion et de recherche dont nous avons pris en considération. Notre étude se résume alors dans la conception d'une approche permettant de faciliter le contrôle de tels systèmes.
Une telle approche proposée se base sur un capteur logiciel intelligent, réduisant le coût global du système de contrôle et favorisant le traitement simultané d'un nombre important d'informations reçus depuis l'actionneur. D'autant plus l'intégration d'un régulateur intelligent permettra de récupérer la sortie utile optimale.
Author Keywords: Moteur à réluctance variable, Réseau de neurones, capteur intelligent, régulateur évolutionnaire intelligent.
How to Cite this Article
Walid Amri, Mohamed Salah Salhi, and Abdessattar Ben Amor, “A new intelligent control strategy of a variable reluctance motor,” International Journal of Innovation and Applied Studies, vol. 9, no. 4, pp. 1450–1458, December 2014.
