Belkacem S, Benmessaoud F, Chikhi A, Djaghdali L.
Comparative Study of DTC and Predictive Torque Control of Induction Machine. IEEE-2018 International Conference on Control, Automation and Diagnosis (ICCAD’18) March 19-21,. 2018.
Abstract
In order to illustrate the criteria relating to static and dynamic performance, complexity of design, implementation and decoupling, a comparison was made between two asynchronous machine control techniques which are the direct torque control under the base of the SVM (DTC-SVM) and the predictive torque control (MPDTC). The results show the merits of these two control strategies with respect to the variations of the load setpoint for the torque and its influence on the speed and were obtained using a simulation program under the environment Matlab / Simulink
Belkacem S, Benmessaoud F, Chikhi A, Djaghdali L.
Comparative Study of DTC and Predictive Torque Control of Induction Machine. IEEE-2018 International Conference on Control, Automation and Diagnosis (ICCAD’18) March 19-21,. 2018.
Abstract
In order to illustrate the criteria relating to static and dynamic performance, complexity of design, implementation and decoupling, a comparison was made between two asynchronous machine control techniques which are the direct torque control under the base of the SVM (DTC-SVM) and the predictive torque control (MPDTC). The results show the merits of these two control strategies with respect to the variations of the load setpoint for the torque and its influence on the speed and were obtained using a simulation program under the environment Matlab / Simulink
Belkacem S, Benmessaoud F, Chikhi A, Djaghdali L.
Comparative Study of DTC and Predictive Torque Control of Induction Machine. IEEE-2018 International Conference on Control, Automation and Diagnosis (ICCAD’18) March 19-21,. 2018.
Abstract
In order to illustrate the criteria relating to static and dynamic performance, complexity of design, implementation and decoupling, a comparison was made between two asynchronous machine control techniques which are the direct torque control under the base of the SVM (DTC-SVM) and the predictive torque control (MPDTC). The results show the merits of these two control strategies with respect to the variations of the load setpoint for the torque and its influence on the speed and were obtained using a simulation program under the environment Matlab / Simulink
MESSAOUDI A, FAHLOUL DJ, LAHBARI M, KAHOUL MA.
Comparative study of mass diffusivity and activation energy during convective drying kinetics of dry and soft Algerian dates. 6ème Séminaire Maghrébin sur les Sciences et les Technologies de Séchage (SMSTS’2018) . 2018.
MESSAOUDI A, FAHLOUL DJ, LAHBARI M, KAHOUL MA.
Comparative study of mass diffusivity and activation energy during convective drying kinetics of dry and soft Algerian dates. 6ème Séminaire Maghrébin sur les Sciences et les Technologies de Séchage (SMSTS’2018) . 2018.
MESSAOUDI A, FAHLOUL DJ, LAHBARI M, KAHOUL MA.
Comparative study of mass diffusivity and activation energy during convective drying kinetics of dry and soft Algerian dates. 6ème Séminaire Maghrébin sur les Sciences et les Technologies de Séchage (SMSTS’2018) . 2018.
MESSAOUDI A, FAHLOUL DJ, LAHBARI M, KAHOUL MA.
Comparative study of mass diffusivity and activation energy during convective drying kinetics of dry and soft Algerian dates. 6ème Séminaire Maghrébin sur les Sciences et les Technologies de Séchage (SMSTS’2018) . 2018.
Touatit A, Bougriou C.
Comparative Study on Concentric Triple Tube Heat Exchangers Using (GA). 2nd National Conference on Computational Fluid Dynamics & Technology. 2018.
Touatit A, Bougriou C.
Comparative Study on Concentric Triple Tube Heat Exchangers Using (GA). 2nd National Conference on Computational Fluid Dynamics & Technology. 2018.
Hedjazi MA, Kourbane I, Genc Y, Ali B.
A comparison of Hadoop, Spark and Storm for the task of large scale image classification. 2018 26th Signal Processing and Communications Applications Conference (SIU). 2018 :1-4.
Hedjazi MA, Kourbane I, Genc Y, Ali B.
A comparison of Hadoop, Spark and Storm for the task of large scale image classification. 2018 26th Signal Processing and Communications Applications Conference (SIU). 2018 :1-4.
Hedjazi MA, Kourbane I, Genc Y, Ali B.
A comparison of Hadoop, Spark and Storm for the task of large scale image classification. 2018 26th Signal Processing and Communications Applications Conference (SIU). 2018 :1-4.
Hedjazi MA, Kourbane I, Genc Y, Ali B.
A comparison of Hadoop, Spark and Storm for the task of large scale image classification. 2018 26th Signal Processing and Communications Applications Conference (SIU). 2018 :1-4.
Bentrcia R, Zidat S, Marir F.
Computer and Information Sciences. Journal of King Saud University–Computer and Information SciencesJournal of King Saud University–Computer and Information Sciences. 2018;30 :382-390.
Bentrcia R, Zidat S, Marir F.
Computer and Information Sciences. Journal of King Saud University–Computer and Information SciencesJournal of King Saud University–Computer and Information Sciences. 2018;30 :382-390.
Bentrcia R, Zidat S, Marir F.
Computer and Information Sciences. Journal of King Saud University–Computer and Information SciencesJournal of King Saud University–Computer and Information Sciences. 2018;30 :382-390.
HEDJAZI D.
Constructing collective competence: a new CSCW-based approach. International Journal of Information and Communication TechnologyInternational Journal of Information and Communication Technology. 2018;12 :4.
AbstractWithin the majority of contexts, it is persons that are considered to be competent or incompetent. However, in many cases it is the performance of groups and teams that is most important. This implies a concept of collective competence that integrates the set of skills in a group. In addition, the collective competence construction process is also enriched through collaboration which implies exchanges, confrontations, negotiations and interpersonal interactions. This paper presents our CSCW-based approach supporting collective competence construction. As a case of study, the industrial maintenance workspace is fundamentally a collaborative context. Our contribution in this area led us first, to analyse the related task in order to highlight collaborative maintenance vital needs and design the appropriate required group awareness supports which will be used to support collective competence. Finally, the experimentation study identifies the highly effective group awareness tools.