Scientific Publications

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Abstract

In this paper, we’d like to present a tool for modeling and representing systems that allows a subsequent structuring of the control of these systems. 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 the control of this one.
Simulation results show that the proposed modeling and control strategy can provide adequate control of the induction motor.


BibTex

@article{uniusa4442,
    title={control struture for induction motor using causal informational graph},
    author={Hassainia Saida, Toufouti Riadh and Meziane Salima},
    journal={International journal of computer science}
    year={2014},
    volume={104},
    number={1},
    pages={34-38},
    publisher={}
}