|
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 |
10.5120/18170-9051
|
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.