Control of Quadruple Tank Process Using an Adaptive Fractional-Order Sliding Mode Controller

Mehri, Elham

doi:10.1007/s40313-021-00703-2

Cited by 11 publications

(3 citation statements)

References 33 publications

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“…Several studies have investigated the use of FOSMC for chemical processes. In general, these studies have shown that FOSMC can improve the performance and robustness of control systems for chemical processes; from them, we can highlight. − Therefore, the future of FOSMC for chemical processes is promising, and it is becoming a more widely used control technique for chemical processes as the theory of fractional calculus and sliding mode control continues to develop.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Control Framework for Chemical Processes with Long Time Delay: Theory and Experiments

Di Teodoro,

Herrera,

Rincon

et al. 2024

ACS Omega

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This paper proposes a hybrid control framework based on internal model concepts, sliding mode control methodology, and fractional-order calculus theory. As a result, a modified Smith predictor (SP) is proposed for nonlinear systems with significant delays. The particular predictive approach enhances the sliding mode control (SMC) controller's transient responses for dead-time processes, and the SMC gives the predictive structure robustness for model mismatches by combining the previous methods with fractional order concepts; the result is a dynamical sliding mode controller. A numerical example is considered to evaluate the performance of the proposed approach, where a step change, external disturbance, and parametric uncertainty test are performed. A real application in the TCLab Arduino kit is presented; the proposed method presented good performance with a little amount of chattering, and in the disturbance rejection case, the overshoot increased with an aggressive response; in both cases, better tuning parameters can improve the process response and the controller action.

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Section: Introductionmentioning

confidence: 99%

A Hybrid Control Framework for Chemical Processes with Long Time Delay: Theory and Experiments

Di Teodoro,

Herrera,

Rincon

et al. 2024

ACS Omega

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“…Shah and Patel, (2019) designed a sliding mode controller with a time delay compensator to overcome the problem of parametric uncertainty and process delays. Mehri and Tabatabaei (2021) developed an adaptive fractional-order sliding mode controller for a quadruple tank system in the case of time-varying pump coefficients. For the time delay problem in a quadruple-tank system, Naami et al, (2022) designed an H-infinity observer-based controller using Takagi-Sugeno fuzzy modelling method.…”

Section: Introductionmentioning

confidence: 99%

Design and Analyse of Structured H-infinity Controller for Level Control of Nonlinear Quadruple Tank Systems

Başak

2022

Karadeniz Fen Bilimleri Dergisi

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Industrial process systems operate by interacting with each other to fulfil an essential industrial task. The majority of processes have nonlinear dynamics and multiple-input multiple-output systems which make them even more difficult to design control schemes. In industrial process applications, level control is one of the important problems. This study computes a structured H-infinity controller for the level control of a nonlinear quadruple tank system. This study aims to design a simple (low-order) robust controller and compare its performance to the performance of the classical Proportional-Integral-Derivative (PID) controller. PID controllers are mostly used in industrial processes due to their simplicity of implementation. However, PID controllers have some disadvantages. One of these disadvantages is that PID controllers offer lower robustness than robust control schemes when the industrial process operates in the presence of disturbances. Simulations are conducted in MATLAB\Simulink environment. Furthermore, the performance of the proposed controller is compared with the PID controller in terms of error-dependent performance indices and time-domain specifications. The simulation results have shown that the proposed controller provides robust set-point tracking, good disturbance rejection, and handling of the parametric uncertainty properties for nonlinear quadruple tank systems in industrial processes.

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“…A static decoupling is used in (Astrom et al, 2002) to explain how the system works with a decoupled PI. (Mehri and Tabatabaei, 2021) uses sliding mode control and (Li and Zheng, 2014) employs H ∞ to control the system. Besides, techniques such as LQG/LTR and QFT control applied with a dynamic decoupler (das Neves and Angélico, 2016) were tested on this plant.…”

Section: Introductionmentioning

confidence: 99%

Direct Extremum-Seeking Control applied to a quadruple tank system

Destro

Neves

Cortés

et al. 2021

Procedings Do XV Simpósio Brasileiro De Automação Inteligente

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This article presents a model-free control technique based on an extremum seeking control algorithm (ESC). The idea is to use ESC as a direct controller to minimize the quadratic error. Considering that it is possible to minimize the error to zero, it is then possible to track a reference. In addition, the technique can guarantee operation for different points of application, as well as for time-varying parameters. This technique was tested, through simulations, in a quadruple tank system.

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Control of Quadruple Tank Process Using an Adaptive Fractional-Order Sliding Mode Controller

Cited by 11 publications

References 33 publications

A Hybrid Control Framework for Chemical Processes with Long Time Delay: Theory and Experiments

A Hybrid Control Framework for Chemical Processes with Long Time Delay: Theory and Experiments

Design and Analyse of Structured H-infinity Controller for Level Control of Nonlinear Quadruple Tank Systems

Direct Extremum-Seeking Control applied to a quadruple tank system

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