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Model-based Dynamic Fractional-order Sliding Mode Controller Design for Performance Analysis and Control of a Coupled Tank Liquid-level SystemSEKBAN, H. T. , CAN, K. , BASCI, A.
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fractional calculus, level control, nonlinear control systems, process control, sliding mode control
control(25), sliding(15), mode(13), fractional(11), controller(11), tank(9), level(9), liquid(8), coupled(8), basci(8)
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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
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.
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 PI+Feed Forward Controller Tuning Based on Genetic Algorithm for Liquid Level Control of Coupled-Tank System, YILMAZ, Mehmet, CAN, Kaan, BAŞÇİ, Abdullah, Journal of the Institute of Science and Technology, ISSN 2146-0574, 2021.
Digital Object Identifier: 10.21597/jist.819389 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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