International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
Volume 104 - Issue 1 |
Published: October 2014 |
Authors: S. Hassainia, R.Toufouti, S.Meziane |
![]() |
S. Hassainia, R.Toufouti, S.Meziane . Modeling and Control of Induction Motor using Causal Informational Graph. International Journal of Computer Applications. 104, 1 (October 2014), 34-38. DOI=10.5120/18170-9051
@article{ 10.5120/18170-9051, author = { S. Hassainia,R.Toufouti,S.Meziane }, title = { Modeling and Control of Induction Motor using Causal Informational Graph }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 104 }, number = { 1 }, pages = { 34-38 }, doi = { 10.5120/18170-9051 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A S. Hassainia %A R.Toufouti %A S.Meziane %T Modeling and Control of Induction Motor using Causal Informational Graph%T %J International Journal of Computer Applications %V 104 %N 1 %P 34-38 %R 10.5120/18170-9051 %I Foundation of Computer Science (FCS), NY, USA
In this paper, we'd like to present a tool for modeling and representing systems that allows a subsequent structuring of their control o. This tool, which is the causal informational graph (CIG), allows to highlight the different relationships between energy variables in a system; supplemented by another tool that is the macroscopic energy representation (MER), which insists on the principle of action and reaction between the different elements of the system. These tools enable a dual interest, first developing the model for the system structure and its control. In this article we consider the application as electromechanical conversion chain with actuator as an induction machine.