Learning in Multivariable Control Using Coupled Tanks: Design, Construction, and Implementation

This work aims to provide undergraduate students with practical experience in designing and implementing multivariable control systems. A laboratory setup was created to facilitate real-time simulation and testing, focusing on the Coupled Tank Process, which involves controlling water levels in two connected tanks using two pumps. The system was assembled using basic materials and standard instrumentation, with a Human-Machine Interface (HMI) developed in Matlab for realtime control. The setup incorporates the Relative Gain Array, making it an effective educational tool to teach the fundamentals of multivariable control. The research provides a basis for future exploration of advanced control techniques.

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Publication Details

Published
2024-10-15
DOI
https://doi.org/10.1109/etcm63562.2024.10746127
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Learning in Multivariable Control Using Coupled Tanks: Design, Construction, and Implementation

W. T. Cruz, Óscar Camacho, Luis Caiza, J. Iza et al.
Advanced Control Systems Optimization
article

Learning in Multivariable Control Using Coupled Tanks: Design, Construction, and Implementation

W. T. Cruz, Óscar Camacho, Luis Caiza, J. Iza, Marco Luis Herrera, Sebastian Vega
article en

Abstract

This work aims to provide undergraduate students with practical experience in designing and implementing multivariable control systems. A laboratory setup was created to facilitate real-time simulation and testing, focusing on the Coupled Tank Process, which involves controlling water levels in two connected tanks using two pumps. The system was assembled using basic materials and standard instrumentation, with a Human-Machine Interface (HMI) developed in Matlab for realtime control. The setup incorporates the Relative Gain Array, making it an effective educational tool to teach the fundamentals of multivariable control. The research provides a basis for future exploration of advanced control techniques.

Universidad San Francisco de Quito (EC)
Openalex Percentile: Top 76%
Advanced Control Systems Optimization
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