A linear matric inequality based multi-loop PI control design for coupled multivariable liquid level system

This paper presents design and development of an optimal robust PI controller based on linear matrix inequalities for a typical industrial process control system. In this method, the design problem has been transformed into a state feedback controller design problem for an augmented uncertainty MIMO system. In this work, a dynamic decoupler is designed to handle loop interaction. The control problem is then solved for the obtained decoupled subsystem by employing a constraint optimization approach, ensuring compliance with a defined LQ cost objective function. Simulation results verify the efficacy of the proposed controller, presenting its effectiveness in achieving both set-point accuracy and disturbance attenuation. Furthermore, the study employs disk margin analysis to ascertain safe ranges for gain and phase margin.

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Publication Details

Journal
Scientific Reports
Published
2025-03-14
DOI
https://doi.org/10.1038/s41598-025-89865-6
Citations
1
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
1.21

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article

A linear matric inequality based multi-loop PI control design for coupled multivariable liquid level system

Soumya Ranjan Mahapatro, Chandramauleshwar Roy, Raju Patel, Satyajit Das
1 citations
Scientific Reports
Advanced Control Systems Design
1.21
article

A linear matric inequality based multi-loop PI control design for coupled multivariable liquid level system

Soumya Ranjan Mahapatro, Chandramauleshwar Roy, Raju Patel, Satyajit Das
article en
1 citations

Abstract

This paper presents design and development of an optimal robust PI controller based on linear matrix inequalities for a typical industrial process control system. In this method, the design problem has been transformed into a state feedback controller design problem for an augmented uncertainty MIMO system. In this work, a dynamic decoupler is designed to handle loop interaction. The control problem is then solved for the obtained decoupled subsystem by employing a constraint optimization approach, ensuring compliance with a defined LQ cost objective function. Simulation results verify the efficacy of the proposed controller, presenting its effectiveness in achieving both set-point accuracy and disturbance attenuation. Furthermore, the study employs disk margin analysis to ascertain safe ranges for gain and phase margin.

Scientific ReportsVol. 15(1)
Vellore Institute of Technology University (IN)
Vellore Institute of Technology, Chennai
Openalex Percentile: Top 24%
Advanced Control Systems Design
1.21
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