Decentralized PI Controller Design Based on Phase Margin Specifications

Hušek, Petr

doi:10.1109/tcst.2013.2248060

Cited by 36 publications

(25 citation statements)

References 19 publications

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“…A decentralised PI controller is proposed in [1,9]. The overshoot and settling time were found approximately (i) 20% and 1000 s, respectively, in [1] (Fig.…”

Section: Comparisons Based On the Results Given In The Literaturementioning

confidence: 98%

“…A decoupling based distributed multiparametric MPC is proposed in [8] based on the constraint satisfaction, stability and optimality. A decentralised PI controller is proposed in [9] based on the phase margin specification using direct Nyquist array. A fractional order SMC is designed considering a fractional order sliding surface in [10] on a modified QTP where an extra coupling between the bottom tanks is introduced.…”

Section: A Brief Literature Reviewmentioning

confidence: 99%

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Dual mode adaptive fractional order PI controller with feedforward controller based on variable parameter model for quadruple tank process

Roy

2016

ISA Transactions

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“…A decentralised PI controller is proposed in [1,9]. The overshoot and settling time were found approximately (i) 20% and 1000 s, respectively, in [1] (Fig.…”

Section: Comparisons Based On the Results Given In The Literaturementioning

confidence: 98%

Section: A Brief Literature Reviewmentioning

confidence: 99%

Dual mode adaptive fractional order PI controller with feedforward controller based on variable parameter model for quadruple tank process

Roy

2016

ISA Transactions

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“…Two kinds of decentralized PI controllers were designed and validated in [6]. PID controllers were designed for a modified quadruple-tank process by using inverted decoupling and root locus technique [7].…”

Section: Introductionmentioning

confidence: 99%

The four-tank control problem: Comparison of two disturbance rejection control solutions

2017

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The paper aims to compare and prove a pair of disturbance/uncertainty rejection control laws for the well-known four tank control problems. Control requirements are expressed in terms of a set point sequence as it usual in the literature. Uncertainty class is defined as the union of four sub-classes: unknown disturbance, parametric uncertainty, measurement errors and neglected dynamics. Modelling and design allow insight of the dynamic properties of the problem. They are formulated by a pair of theorems which fix the range of application. Theorem are confirmed by the results simulated runs, and indicate the correct way to further broaden control design applicability. Disturbance rejection (better uncertainty) design is deployed using the Embedded Model Control methodology: only unknown disturbance and parametric uncertainty can be rejected, whereas neglected dynamics effects must be filtered. As a result, simple performance and stability inequality can be formulated in the frequency domain and lead to closed-loop pole placement. Inequalities are such to reveal whether pole placement is feasible and how feasibility can be recovered, an issue which at authors knowledge is rarely encountered in the literature. Simulated runs prove the design procedure.

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“…few choices are left for the user (which is indeed an advantage if the industrial engineer lacks theoretical control engineering insight). In (Husek (2014)) has been proposed a model-based method for tuning decentralized PI controllers on the quadruple tank using phase margin specifications. However, care should be taken when single-point specification tuning is performed, since it may lead to unstable results for certain class of processes, as discussed in ).…”

Section: Introductionmentioning

confidence: 99%

Robust PID Auto-tuning for the Quadruple Tank System

Ionescu¹,

Maxim²,

Copot³

et al. 2016

IFAC-PapersOnLine

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In multi-modular process architectures with independent but interacting subsystems, identification may not be the first choice at hand for closed loop control. A robust relay-based PID autotuning strategy is presented and validated on a quadruple tank system with non-minimum phase dynamics. The controller ensures a specified closed loop robustness, which is of great benefit to the overall performance. The experimental results suggest that the proposed method fulfils the robustness requirement and performs well in various operating conditions of the testbench.

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Decentralized PI Controller Design Based on Phase Margin Specifications

Cited by 36 publications

References 19 publications

Dual mode adaptive fractional order PI controller with feedforward controller based on variable parameter model for quadruple tank process

Dual mode adaptive fractional order PI controller with feedforward controller based on variable parameter model for quadruple tank process

The four-tank control problem: Comparison of two disturbance rejection control solutions

Robust PID Auto-tuning for the Quadruple Tank System

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