Parameter estimation based robust liquid level control of quadruple tank system — Second order sliding mode approach

Gurjar, Bhagyashri; Chaudhari, Vinita; Kurode, Shailaja

doi:10.1016/j.jprocont.2021.05.009

Cited by 17 publications

(4 citation statements)

References 20 publications

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“…This control approach follows the control scheme shown in Figure 1c and involves designing a static decoupling network from the process' stationary state gain matrix G lin (0) to reduce interaction at low frequencies [34]. The decoupling network is given using (28), which is the inverse of G lin (0). Two PI controllers are then designed using the same methodology as above for the resulting apparent processes from the process and the static decoupler, i.e., the matrix Q(s) = G lin (s)D 0 .…”

Section: Static Decouplingmentioning

confidence: 99%

“…Other authors have applied internal model control [22], multivariable H ∝ control [3], quantitative feedback control [23], LQG optimal control [24], predictive control [25,26], and distributed model predictive control [27]. More recent works have applied nonlinear techniques to the QTS such as sliding mode control [28,29], feedback linearization [20], fuzzy control [30,31], and neural networks [32], among others.…”

Section: Introductionmentioning

confidence: 99%

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Grey-Box Modeling and Decoupling Control of a Lab Setup of the Quadruple-Tank System

Garrido,

Garrido-Jurado,

Vázquez

2024

Actuators

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The quadruple-tank system (QTS) is a popular educational resource in universities for studying multivariable control systems. It enables the analysis of the interaction between variables and the limitations imposed by multivariable non-minimum phase zeros, as well as the evaluation of new multivariable control methodologies. The works utilizing this system present a theoretical model that may be too idealistic and based on erroneous assumptions in real-world implementations, such as the linear behavior of the actuators. In other cases, an identified linear model is directly provided. This study outlines the practical grey-box modeling procedure conducted for the QTS at the University of Cordoba and provides guidance for its implementation. A configurable nonlinear model was developed and controlled in a closed loop using different controllers. Specifically, decentralized control, static decoupling control, and simplified decoupling control were compared. The simulation designs were experimentally validated with high accuracy, demonstrating that the conclusions reached with the developed model can be extrapolated to the real system. The comparison of these three control designs illustrates the advantages and disadvantages of decoupling in certain situations, especially in the presence of non-minimum phase zeros.

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Section: Static Decouplingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Grey-Box Modeling and Decoupling Control of a Lab Setup of the Quadruple-Tank System

Garrido,

Garrido-Jurado,

Vázquez

2024

Actuators

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“…The QTP can be considered as a prototype of many industrial applications in the process industry involving liquid level control such as chemical and petrochemical plants [12]. Previous research has explored various control strategies for the QTP, including decentralized PI/PID controllers [9], [10], [13]- [21], fractional order PI control [22]- [25], Model Reference Adaptive Controller (MRAC) [13], [26], state error feedback linearization control method with disturbance observer (DOB) and gain [27]- [30], low-gain integral controllers [31], generalized predictive control (GPC) [32], and sliding mode control [12], [23], [33]- [37], optimal control [38]- [40], and intelligent control techniques [21], [39], [41]- [49].…”

Section: Introductionmentioning

confidence: 99%

Advanced Control for Quadruple Tank Process

Kasiyanto,

Firdaus,

Lailiyah

et al. 2024

J. Ilm. Tek. Elektro Komput. Dan Inform

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“…Further, the stability is verified with the Lyapunov theorem. A higher-order sliding mode controller for the quadruple tank system is described in [ 34 ]. A nonlinear disturbance observer is addressed in [ 35 ] for the quadruple tank system.…”

Section: Introductionmentioning

confidence: 99%

Frequency Domain Specifications Based Robust Decentralized PI/PID Control Algorithm for Benchmark Variable-Area Coupled Tank Systems

K.R.¹,

Mahapatra²

2022

Sensors

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A decentralized PI/PID controller based on the frequency domain analysis for two input two output (TITO) coupled tank systems is exploited in this paper. The fundamentals of the gain margin and phase margin are used to design the proposed PI/PID controller. The basic objective is to keep the tank at the predetermined level. To satisfy the design specifications, the control algorithm is implemented for decoupled subsystems by employing a decoupler. First-order plus dead time (FOPDT) models are obtained for the decoupled subsystems using the model-reduction technique. In addition, the control law is realized by considering the frequency domain analysis. Further, the robustness of the controller is verified by considering multiplicative input and output uncertainties. The proposed method is briefly contrasted with existing techniques. It is envisaged that the proposed control algorithm exhibits better servo and regulatory responses compared to the existing techniques.

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Parameter estimation based robust liquid level control of quadruple tank system — Second order sliding mode approach

Cited by 17 publications

References 20 publications

Grey-Box Modeling and Decoupling Control of a Lab Setup of the Quadruple-Tank System

Grey-Box Modeling and Decoupling Control of a Lab Setup of the Quadruple-Tank System

Advanced Control for Quadruple Tank Process

Frequency Domain Specifications Based Robust Decentralized PI/PID Control Algorithm for Benchmark Variable-Area Coupled Tank Systems

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