An Internal Model Control Design for A Vapor Compression Refrigeration Benchmark Control System (PID18)

Jairo Viola; Yang Quan Chen; Luis Angel

doi:10.1109/ICMEE56406.2022.10093539

An Internal Model Control Design for A Vapor Compression Refrigeration Benchmark Control System (PID18)

Jairo Viola
, Yang Quan Chen
, Luis Angel

Grupo de Investigación en Bioingeniería, Señales y Microelectrónica - BISEMIC

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

Resumen

This paper presents the design of a multivariable temperature control for a refrigeration system based on va-por compression employing an internal model control (IMC) technique. The refrigeration system is based on the PID18 benchmark, which is a 2 × 2 MIMO system. The system is identified using a Box-Jenkins model and the relative gain array is calculated to determinate the best variables to be paired. IMC controller is evaluated using a set of quantitative performance indices. Obtained results shows that the proposed IMC controller improves the system performance compared with the baseline method presented in the the PID18 Benchmark challenge.

Idioma original	Inglés
Título de la publicación alojada	2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	95-99
Número de páginas	5
ISBN (versión digital)	9781665492201
DOI	https://doi.org/10.1109/ICMEE56406.2022.10093539
Estado	Publicada - 2022
Evento	2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022 - Xi'an, China Duración: 21 nov. 2022 → 23 nov. 2022

Serie de la publicación

Nombre	2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022

Conferencia

Conferencia	2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022
País/Territorio	China
Ciudad	Xi'an
Período	21/11/22 → 23/11/22

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Publisher Copyright:
© 2022 IEEE.

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10.1109/ICMEE56406.2022.10093539

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Viola, J., Chen, Y. Q., & Angel, L. (2022). An Internal Model Control Design for A Vapor Compression Refrigeration Benchmark Control System (PID18). En 2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022 (pp. 95-99). (2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMEE56406.2022.10093539

Viola, Jairo ; Chen, Yang Quan ; Angel, Luis. / An Internal Model Control Design for A Vapor Compression Refrigeration Benchmark Control System (PID18). 2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 95-99 (2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022).

@inproceedings{78ef6e6abaf64500a8d13f4b4ef26af4,

title = "An Internal Model Control Design for A Vapor Compression Refrigeration Benchmark Control System (PID18)",

abstract = "This paper presents the design of a multivariable temperature control for a refrigeration system based on va-por compression employing an internal model control (IMC) technique. The refrigeration system is based on the PID18 benchmark, which is a 2 × 2 MIMO system. The system is identified using a Box-Jenkins model and the relative gain array is calculated to determinate the best variables to be paired. IMC controller is evaluated using a set of quantitative performance indices. Obtained results shows that the proposed IMC controller improves the system performance compared with the baseline method presented in the the PID18 Benchmark challenge.",

keywords = "PID control, benchmark, internal model control, process control, refrigeration system",

author = "Jairo Viola and Chen, \{Yang Quan\} and Luis Angel",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022 ; Conference date: 21-11-2022 Through 23-11-2022",

year = "2022",

doi = "10.1109/ICMEE56406.2022.10093539",

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series = "2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Viola, J, Chen, YQ & Angel, L 2022, An Internal Model Control Design for A Vapor Compression Refrigeration Benchmark Control System (PID18). En 2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022. 2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 95-99, 2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022, Xi'an, China, 21/11/22. https://doi.org/10.1109/ICMEE56406.2022.10093539

An Internal Model Control Design for A Vapor Compression Refrigeration Benchmark Control System (PID18). / Viola, Jairo; Chen, Yang Quan; Angel, Luis.
2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 95-99 (2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022).

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

TY - GEN

T1 - An Internal Model Control Design for A Vapor Compression Refrigeration Benchmark Control System (PID18)

AU - Viola, Jairo

AU - Chen, Yang Quan

AU - Angel, Luis

PY - 2022

Y1 - 2022

N2 - This paper presents the design of a multivariable temperature control for a refrigeration system based on va-por compression employing an internal model control (IMC) technique. The refrigeration system is based on the PID18 benchmark, which is a 2 × 2 MIMO system. The system is identified using a Box-Jenkins model and the relative gain array is calculated to determinate the best variables to be paired. IMC controller is evaluated using a set of quantitative performance indices. Obtained results shows that the proposed IMC controller improves the system performance compared with the baseline method presented in the the PID18 Benchmark challenge.

AB - This paper presents the design of a multivariable temperature control for a refrigeration system based on va-por compression employing an internal model control (IMC) technique. The refrigeration system is based on the PID18 benchmark, which is a 2 × 2 MIMO system. The system is identified using a Box-Jenkins model and the relative gain array is calculated to determinate the best variables to be paired. IMC controller is evaluated using a set of quantitative performance indices. Obtained results shows that the proposed IMC controller improves the system performance compared with the baseline method presented in the the PID18 Benchmark challenge.

KW - PID control

KW - benchmark

KW - internal model control

KW - process control

KW - refrigeration system

UR - https://www.scopus.com/pages/publications/85156159808

U2 - 10.1109/ICMEE56406.2022.10093539

DO - 10.1109/ICMEE56406.2022.10093539

M3 - Ponencia publicada en las memorias del evento con ISBN

AN - SCOPUS:85156159808

T3 - 2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022

SP - 95

EP - 99

BT - 2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022

Y2 - 21 November 2022 through 23 November 2022

ER -

Viola J, Chen YQ, Angel L. An Internal Model Control Design for A Vapor Compression Refrigeration Benchmark Control System (PID18). En 2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 95-99. (2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022). doi: 10.1109/ICMEE56406.2022.10093539

An Internal Model Control Design for A Vapor Compression Refrigeration Benchmark Control System (PID18)

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