masterThesis
Sistema de processamento de imagens para o auxílio na obtenção de funções de transferências
Fecha
2018-06-28Registro en:
SANTOS, Camila Nascimento dos. Sistema de processamento de imagens para o auxílio na obtenção de funções de transferências. 2018. 71f. Dissertação (Mestrado em Engenharia Elétrica e de Computação) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2018.
Autor
Santos, Camila Nascimento dos
Resumen
Several daily activities utilize control systems and they can be modeled and
represented by the interconnection of several subsystems, providing a better understanding
of the composition of their components. These, when used in conjunction
with Transfer Functions (FT), also describe the cause and effect relationships of the
whole system.
Signal flow diagrams are directed graphs used to represent the causal relationship
between system components, where their nodes and edges represent signals and FT,
respectively. To calculate the final gain of a diagram, a widely used method is the
Mason gain formula.
This method requires the user to find all the direct paths and loops in the graph.
All this processing has a relevant complexity, since it involves visual analysis and
mathematical manipulations, making this method susceptible to errors.
Thus, the aim of this work is to describe the development and implementation of
an image processing system, capable of processing the image of a signal flow graph
drawn on a paper or whiteboard and performing all necessary steps, until find all
the paths present in it and the equivalent FT. In order to validate this approach and
evaluate its accuracy, we obtained 117 samples of signal flow graphs with university
students of the Electrical Engineering course at UFRN.
The main contributions proposed in this work are to help both students and
professionals in calculating the final FT with a higher probability of success, as well
as to streamline this process.