The use of ON-OFF and ANN Controllers for Automated Irrigation System Model Based on Penman-Monteith Evapotranspiration
Abstract: The climate change
tends to be extreme condition that directly affects on decreasing agriculture
production. Therefore, application of
automated system in agriculture activities is the potential issue which must be
considered. This paper presents ON-OFF and ANN controllers which are applied to
the automated irrigation system. Controlling irrigation system used a
calculated Penman-Monteith evapotranspiration and a reference of soil moisture
as the compared input. Input parameters of the evapotranspiration included
temperature, heat radiation, atmosphere pressure and wind speed. The use of
feed forward ANN included 1 input layer with 15 neurons and 2 hidden layers
with 10 and 5 neurons and 1 output layer and 1 input layer, 2 hidden layers
with 96 and 1 neurons and 1 output layer, errors are 14.3% and 3.9%,
respectively. Error of the ON-OFF controller with sampling time of 0.05 second
is equal to the error of ANN controller. The performance of such controllers
were evaluated and compared based on error of both controllers. The simulation result of ON-OFF controller
was used as the reference of controller development based on ATmega 8
microcontroller. The simulation results show that the error of the ON-OFF
controller can be easily adjusted by setting the sampling time of the dead zone
discretization.
Author: Susilo Adi Widyanto,
Achmad Widodo, Achmad Hidayatno, Suwoko Suwoko
Journal Code: jptkomputergg140113
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