An improved Fuzzy Logic control of irrigation station

Chakchouk, Wael; Regaya, Chiheb Ben; Zaafouri, Abderrahmen; Sallami, Anis

doi:10.1109/codit.2017.8102601

Cited by 4 publications

(5 citation statements)

References 12 publications

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“…Chakchouk et al 21,22 have used a proportional-integral (PI) controller to drive the pumping station system. Chakchouk et al 22,23 have applied a fuzzy logic control (FLC) to the same system. More recently, a hybrid controller based on PI and FLC controllers has been developed in Zaafouri and colleagues.…”

Section: Introductionmentioning

confidence: 99%

“…24,25 However, those aforementioned works have major drawbacks. In Zaafouri and colleagues, [21][22][23][24][25] the problems are higher steady-state error, higher overshoot and unstable tracking performance.…”

Section: Introductionmentioning

confidence: 99%

“…Many control laws have been developed in literature for pumping station using different techniques. Chakchouk et al 21,22 have used a proportional–integral (PI) controller to drive the pumping station system. Chakchouk et al 22,23 have applied a fuzzy logic control (FLC) to the same system.…”

Section: Introductionmentioning

confidence: 99%

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Discrete-time adaptive backstepping control: Application to pumping station

Chakchouk

Chrouta

Regaya

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article proposes an application of a discrete-time adaptive backstepping control strategy for a hydraulic process pumping station. The proposed solution leads to improved control system performances in terms of pressure and flow tracking in transient and standstill operation and improvement of pressure response time. The proposed design methodology is based on accurate model for pumping station, which is developed in previous works using fuzzy-C means algorithm. The control law design is based on discrete-time adaptive backstepping control, which is developed in the sense of Lyapunov stability theory using sign function, in order to satisfy various objectives of a stable pumping station like the asymptotic stability of the tracking error. To validate the proposed solution, simulation and experimental tests are made and analyzed. Compared to the conventional proportional-integral approach, the results show that the discrete-time adaptive backstepping control allows exhibiting excellent transient response over a wide range of operating conditions and especially is easier to be implemented in practice.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Discrete-time adaptive backstepping control: Application to pumping station

Chakchouk

Chrouta

Regaya

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…However, those aforementioned works have the major drawbacks. In [19][20][21][22][23], the problems are higher steady state error, higher overshoot, and having unstable tracking performance.…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [19,20] have used a proportional integral (PI) controller to drive the pumping station system. In [20,21] the authors have applied a fuzzy logic control (FLC) to the same system. More recently, a hybrid controller based on PI and FLC controllers has been developed in [22].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Supervisor Approach Design Based‐Switching Controller for Pumping Station: Experimental Validation

Chakchouk¹,

Regaya²,

Zaafouri³

et al. 2017

Mathematical Problems in Engineering

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This paper proposes a discrete-time switching controller strategy for a hydraulic process pumping station. The proposed solution leads to improving control system performances with two tests: combination of Fuzzy-PD and PI controllers and Fuzzy-PID and PI controllers. The proposed design methodology is based on accurate model for pumping station (PS), which is developed in previous works using Fuzzy-C Means (FCM) algorithm. The control law design is based on switching control; a fuzzy supervisor manages the switching from one to another and regulates the rate of participation of each order, in order to satisfy various objectives of a stable pumping station like the asymptotic stability of the tracking error. To validate the proposed solution, experimental tests are made and analyzed. Compared to the conventional PI and fuzzy logic (FL) approaches, the results show that the switching controller allows exhibiting excellent transient response over a wide range of operating conditions and especially is easier to be implemented in practice.

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