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Using the Measurement-based Approach to Emulate the Behavior of a Sensor for Internal Hydraulic Pressure Drop Measurements of Sprayers in the Agricultural Industry

Authors:
Rafael Magossi
Elmer Peñaloza
Shankar Battachharya
Vilma Oliveira
Paulo Cruvinel

Keywords: Measurement theory; Parametrized model; Pointwise Thévenin’s equivalent; Electrical-hydraulic analogy; Agricultural quality sensor.

Abstract:
Related to the quality of the agricultural spraying processes, the variable hydraulic pressure plays an important role. All spray nozzles when operating are subjected to the hydraulic pressure along the boom. Furthermore, in real sprayers systems the losses in the hydraulic pressure which occur along the boom, where one may find the placed nozzles, are in general verified with the use of pressure sensors in each nozzle. However, such arrangement has high costs for the agricultural producers and involves a larger complexity in the electronics for signal processing, monitoring and control. The hydraulic system of agricultural sprayers has a direct analog in electric circuits, and thus, it is possible to be represented as an equivalent circuit formed by a voltage source and a resistance which characterizes the internal loss of the system. This paper, presents a method that makes possible the evaluation of the hydraulic pressure drop in bars of sprayer systems considering the fluid hydraulic resistance as a part of a sensor element, associated with a point-wise Thévenin's equivalent measurement method. This makes feasible such evaluations with lower cost and greater accuracy, as well as the control of the pressure drop. Thus, taking into account a metering-based approach it was possible to obtain a parametrized relationship among operating conditions and fluid resistances. Therefore, it was possible to obtain the hydraulic equivalent of a sprayer system with direct injection based only on the hydraulic flow and pressure measurements. The results have shown that is possible to get the hydraulic equivalent resistance with a relative error equal to 2.1529 %.

Pages: 10 to 15

Copyright: Copyright (c) IARIA, 2017

Publication date: March 19, 2017

Published in: conference

ISSN: 2519-836X

ISBN: 978-1-61208-543-2

Location: Nice, France

Dates: from March 19, 2017 to March 23, 2017