Metodologia de desenvolvimento baseado em modelos e sua aplicação em máquinas agrícolas
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Universidade Estadual de Ponta Grossa
Abstract
The present work presents the application of the model-based methodology (MBD) for the
development of electronic control and automation devices for agricultural machines. Based on
the concepts of MBD, it was proposed the development of an embedded electronic central to
control the specific functions of a planter. Once the requirements were defined, we used a set
of the main sensors and actuators for the development of the model. We used tools such as
Matlab/Simulink® for stateflow modeling and automatic code generation which was tested
and validated in software through MIL (Model-in-the-Loop) step. Later, the automatic
generation of code was performed through the Software-in-the-Loop (SIL) step, validating the
firmware generated in software; and, through the Processor-in-the-Loop (PIL) step, the
generated code was validated by recording it in the microcontroller and using support
materials for experimental simulation of sensors and actuators. Later, once the parts of the
project were validated and, as a way of evaluating the system in a situation close to the reality
of a planting, an application was developed to evaluate with a controlled dispense of seeds,
including evaluating a possible obstruction of one of the holes in the dispensing disc. As a
result, the objective of this application was to propose a tool to evaluate the average planting
distance between seeds, average planting velocity and to generate statistical information about
the accuracy of the seed dispensation. Finally, the validation and experimental results are
presented, which allowed to conclude that the model-based methodology can be applied also
in agricultural systems resulting in the rapid development of embedded electronics devices
and allowing the processes of testing and validation during its development.
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COSTA, Felipe Tozetto. Metodologia de desenvolvimento baseado em modelos e sua aplicação em máquinas agrícolas. 2017, 95f. Dissertação (Mestrado em Computação Aplicada), Universidade Estadual de Ponta Grossa, Ponta Grossa, 2017.
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