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

Bioengineering, Signals, and Microelectronics

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

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.

Original language	English
Title of host publication	2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	95-99
Number of pages	5
ISBN (Electronic)	9781665492201
DOIs	https://doi.org/10.1109/ICMEE56406.2022.10093539
State	Published - 2022
Event	2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022 - Xi'an, China Duration: 21 Nov 2022 → 23 Nov 2022

Publication series

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

Conference

Conference	2022 International Conference on Mechanical and Electronics Engineering, ICMEE 2022
Country/Territory	China
City	Xi'an
Period	21/11/22 → 23/11/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

PID control
benchmark
internal model control
process control
refrigeration system

Types Minciencias

Scientific events with a public engagement component

Access to Document

10.1109/ICMEE56406.2022.10093539

Cite this

Viola, J., Chen, Y. Q., & Angel, L. (2022). An Internal Model Control Design for A Vapor Compression Refrigeration Benchmark Control System (PID18). In 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).

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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). in 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).

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

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). In 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)

Abstract

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Bibliographical note

Keywords

Types Minciencias

Access to Document

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Cite this