Differential Evolution algorithm applied to sparse PI control synthesis for non-square multivariable systems

This paper presents a sparse PI control synthesis methodology for non-square multivariable systems aiming tracking response performance and decoupling among control loops. We formulate the control problem as a non-linear optimization problem in the space of the sparse PI control parameters. To formu...

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Bibliographic Details
Published in2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) pp. 893 - 898
Main Authors Soares, Raphael F., Jorge e Silva, Sara, Goncalves, Eduardo N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2018
Subjects
Control systems
MIMO communication
Optimization
Process control
Sociology
Statistics
Transfer functions
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Summary:This paper presents a sparse PI control synthesis methodology for non-square multivariable systems aiming tracking response performance and decoupling among control loops. We formulate the control problem as a non-linear optimization problem in the space of the sparse PI control parameters. To formulate the control problem, we consider the H reference model approximation approach. We apply the differential evolution algorithm to solve the proposed optimization problem. We illustrate the efficiency of the proposed synthesis methodology considering a crude distillation unit that is non-square, with four process outputs and five manipulated variables, with multiple delay times, and high interactions among the control loops.
ISSN:2576-3555
DOI:10.1109/CoDIT.2018.8394956