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  3/2020 - 11
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Model-based Dynamic Fractional-order Sliding Mode Controller Design for Performance Analysis and Control of a Coupled Tank Liquid-level System

SEKBAN, H. T. See more information about SEKBAN, H. T. on SCOPUS See more information about SEKBAN, H. T. on IEEExplore See more information about SEKBAN, H. T. on Web of Science, CAN, K. See more information about  CAN, K. on SCOPUS See more information about  CAN, K. on SCOPUS See more information about CAN, K. on Web of Science, BASCI, A. See more information about BASCI, A. on SCOPUS See more information about BASCI, A. on SCOPUS See more information about BASCI, A. on Web of Science
 
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Download PDF pdficon (1,296 KB) | Citation | Downloads: 257 | Views: 581

Author keywords
fractional calculus, level control, nonlinear control systems, process control, sliding mode control

References keywords
control(25), sliding(15), mode(13), fractional(11), controller(11), tank(9), level(9), liquid(8), coupled(8), basci(8)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-08-31
Volume 20, Issue 3, Year 2020, On page(s): 93 - 100
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.03011
Web of Science Accession Number: 000564453800011
SCOPUS ID: 85090360900

Abstract
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In this paper, a model-based dynamic fractional-order sliding mode controller (FOSMC) is designed and implemented to a coupled tank experimental setup for controlling the liquid level. First, a model-based dynamic sliding-mode controller is designed by using the dynamic equations of a vertically positioned coupled tank system. Then, the sliding surface of the sliding-mode controller is defined in fractional order so that the designed controller can make better water level tracking. The liquid level control of the system is realized in two different steps. In the first step, the water level of the upper tank is controlled by a pump and in this application the bottom tank is not considered. In the second step, the water level of the bottom tank is controlled with upper tank's output water. In addition, a model-based dynamic sliding mode controller (SMC) is also applied to the system to show the performance of the proposed controller in terms of robustness to disturbances, reference tracking and error elimination capability. Experimental results show that the proposed controller reduces the reference tracking error by 3.68% and 10.17% for the upper tank and 17.07% for the bottom tank when compared to the SMC, and the control signal contains more chattering than the SMC.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef]


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[CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 36]


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[24] K. Orman, K. Can, A. Basci and A. Derdiyok, "An Adaptive-Fuzzy Fractional-Order Sliding Mode Controller Design for an Unmanned Vehicle", Elektronika Ir Elektrotechnika, vol.24, no.2, pp.12-17, 2018.
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References Weight

Web of Science® Citations for all references: 3,646 TCR
SCOPUS® Citations for all references: 4,856 TCR

Web of Science® Average Citations per reference: 110 ACR
SCOPUS® Average Citations per reference: 147 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-06-24 03:27 in 124 seconds.




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