Modeling and Control of Induction Motor using Causal Informational Graph
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10.5120/18170-9051 |
S Hassainia, R.toufouti and S.meziane. Article: Modeling and Control of Induction Motor using Causal Informational Graph. International Journal of Computer Applications 104(1):34-38, October 2014. Full text available. BibTeX
@article{key:article,
author = {S. Hassainia and R.toufouti and S.meziane},
title = {Article: 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},
month = {October},
note = {Full text available}
}
Abstract
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.
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