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Modeling, Identification and Control
of Irrigation Station with Sprinkling:
Takagi-Sugeno Approach
Wael Chakchouk, Abderrahmen Zaafouri and Anis Sallami
Abstract The spray under pressure is an effective save on water. This task should
be automated and controlled in order to limit the water waste and the facilities of
damages. For this reason, it
find a mathematical model describing the
irrigation process. In order to facilitate this step the Takagi-Sugeno fuzzy model is
the best approaches of nonlinear systems representation. Various techniques are
used in the literature of such systems; the clustering technique is one of the best
solutions. In this paper, we'll
'
s necessary to
ll model the irrigation station with the T-S algorithm
and use the fuzzy c-means (FCM) algorithm and present the results of simulation
and some validation tests and we present the stability of T-S irrigation station
model.
'
1 Introduction
The development of a mathematical model making it possible to represent
“
as well
as possible
the dynamic behavior of a complex real process represents a very
important problem in the practical world. In recent years, and with the evolution of
technology, a signi
”
cation and
control of such systems. The Takagi-Segeno fuzzy model (Takagi and Sugeno
1985
; Grisales
2007
; Li et al.
2012
; Chakchouk et al.
2014
) is one of the best
approaches to the representation of such a process, it was widely used in many
research areas, since it has an excellent ability to describe the nonlinear system.
cant effort has been given to modeling, identi
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