An Application of MVMO Based Adaptive PID Controller for Process with Variable Delay

Estefania Salazar; Marco Herrera; Oscar Camacho

doi:10.1007/978-3-030-59194-6_29

An Application of MVMO Based Adaptive PID Controller for Process with Variable Delay

Estefania Salazar
, Marco Herrera
, Oscar Camacho^*

^*Corresponding author for this work

Escuela Politecnica Nacional

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In this work, a Mean–Variance Mapping Optimization (MVMO) based adaptive PID controller is developed for a chemical process with variable time delay. For this, an adaptive tuning equation is obtained based on delay time variation. In order to verify the performance of the proposed controller, a comparison against an adaptive Smith Predictor, an adaptive control tuned by Dahlin equations and a Gain Scheduling controller through the ISE, TVu indexes is made. The simulations results show that the response of the system with the proposal approach improves the performance of the process with variable time delay.

Original language	English
Title of host publication	Systems and Information Sciences - Proceedings of ICCIS 2020
Editors	Miguel Botto-Tobar, Willian Zamora, Johnny Larrea Plúa, José Bazurto Roldan, Alex Santamaría Philco
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	353-365
Number of pages	13
ISBN (Print)	9783030591939
DOIs	https://doi.org/10.1007/978-3-030-59194-6_29
State	Published - 2021
Externally published	Yes
Event	1st International Conference on Systems and Information Sciences, ICCIS 2020 - Manta, Ecuador Duration: 27 Jul 2020 → 29 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1273 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	1st International Conference on Systems and Information Sciences, ICCIS 2020
Country/Territory	Ecuador
City	Manta
Period	27/07/20 → 29/07/20

Keywords

Adaptive control
MVMO
Optimization problems
Smith Predictor

Access to Document

10.1007/978-3-030-59194-6_29

Cite this

Salazar, E., Herrera, M., & Camacho, O. (2021). An Application of MVMO Based Adaptive PID Controller for Process with Variable Delay. In M. Botto-Tobar, W. Zamora, J. Larrea Plúa, J. Bazurto Roldan, & A. Santamaría Philco (Eds.), Systems and Information Sciences - Proceedings of ICCIS 2020 (pp. 353-365). (Advances in Intelligent Systems and Computing; Vol. 1273 AISC). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59194-6_29

Salazar, Estefania ; Herrera, Marco ; Camacho, Oscar. / An Application of MVMO Based Adaptive PID Controller for Process with Variable Delay. Systems and Information Sciences - Proceedings of ICCIS 2020. editor / Miguel Botto-Tobar ; Willian Zamora ; Johnny Larrea Plúa ; José Bazurto Roldan ; Alex Santamaría Philco. Springer Science and Business Media Deutschland GmbH, 2021. pp. 353-365 (Advances in Intelligent Systems and Computing).

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abstract = "In this work, a Mean–Variance Mapping Optimization (MVMO) based adaptive PID controller is developed for a chemical process with variable time delay. For this, an adaptive tuning equation is obtained based on delay time variation. In order to verify the performance of the proposed controller, a comparison against an adaptive Smith Predictor, an adaptive control tuned by Dahlin equations and a Gain Scheduling controller through the ISE, TVu indexes is made. The simulations results show that the response of the system with the proposal approach improves the performance of the process with variable time delay.",

keywords = "Adaptive control, MVMO, Optimization problems, Smith Predictor",

author = "Estefania Salazar and Marco Herrera and Oscar Camacho",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; 1st International Conference on Systems and Information Sciences, ICCIS 2020 ; Conference date: 27-07-2020 Through 29-07-2020",

year = "2021",

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isbn = "9783030591939",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "353--365",

editor = "Miguel Botto-Tobar and Willian Zamora and \{Larrea Pl{\'u}a\}, Johnny and \{Bazurto Roldan\}, Jos{\'e} and \{Santamar{\'i}a Philco\}, Alex",

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Salazar, E, Herrera, M & Camacho, O 2021, An Application of MVMO Based Adaptive PID Controller for Process with Variable Delay. in M Botto-Tobar, W Zamora, J Larrea Plúa, J Bazurto Roldan & A Santamaría Philco (eds), Systems and Information Sciences - Proceedings of ICCIS 2020. Advances in Intelligent Systems and Computing, vol. 1273 AISC, Springer Science and Business Media Deutschland GmbH, pp. 353-365, 1st International Conference on Systems and Information Sciences, ICCIS 2020, Manta, Ecuador, 27/07/20. https://doi.org/10.1007/978-3-030-59194-6_29

An Application of MVMO Based Adaptive PID Controller for Process with Variable Delay. / Salazar, Estefania; Herrera, Marco; Camacho, Oscar.
Systems and Information Sciences - Proceedings of ICCIS 2020. ed. / Miguel Botto-Tobar; Willian Zamora; Johnny Larrea Plúa; José Bazurto Roldan; Alex Santamaría Philco. Springer Science and Business Media Deutschland GmbH, 2021. p. 353-365 (Advances in Intelligent Systems and Computing; Vol. 1273 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Application of MVMO Based Adaptive PID Controller for Process with Variable Delay

AU - Salazar, Estefania

AU - Herrera, Marco

AU - Camacho, Oscar

PY - 2021

Y1 - 2021

N2 - In this work, a Mean–Variance Mapping Optimization (MVMO) based adaptive PID controller is developed for a chemical process with variable time delay. For this, an adaptive tuning equation is obtained based on delay time variation. In order to verify the performance of the proposed controller, a comparison against an adaptive Smith Predictor, an adaptive control tuned by Dahlin equations and a Gain Scheduling controller through the ISE, TVu indexes is made. The simulations results show that the response of the system with the proposal approach improves the performance of the process with variable time delay.

AB - In this work, a Mean–Variance Mapping Optimization (MVMO) based adaptive PID controller is developed for a chemical process with variable time delay. For this, an adaptive tuning equation is obtained based on delay time variation. In order to verify the performance of the proposed controller, a comparison against an adaptive Smith Predictor, an adaptive control tuned by Dahlin equations and a Gain Scheduling controller through the ISE, TVu indexes is made. The simulations results show that the response of the system with the proposal approach improves the performance of the process with variable time delay.

KW - Adaptive control

KW - MVMO

KW - Optimization problems

KW - Smith Predictor

UR - https://www.scopus.com/pages/publications/85094162586

U2 - 10.1007/978-3-030-59194-6_29

DO - 10.1007/978-3-030-59194-6_29

M3 - Contribución a la conferencia

AN - SCOPUS:85094162586

SN - 9783030591939

T3 - Advances in Intelligent Systems and Computing

SP - 353

EP - 365

BT - Systems and Information Sciences - Proceedings of ICCIS 2020

A2 - Botto-Tobar, Miguel

A2 - Zamora, Willian

A2 - Larrea Plúa, Johnny

A2 - Bazurto Roldan, José

A2 - Santamaría Philco, Alex

PB - Springer Science and Business Media Deutschland GmbH

T2 - 1st International Conference on Systems and Information Sciences, ICCIS 2020

Y2 - 27 July 2020 through 29 July 2020

ER -

Salazar E, Herrera M, Camacho O. An Application of MVMO Based Adaptive PID Controller for Process with Variable Delay. In Botto-Tobar M, Zamora W, Larrea Plúa J, Bazurto Roldan J, Santamaría Philco A, editors, Systems and Information Sciences - Proceedings of ICCIS 2020. Springer Science and Business Media Deutschland GmbH. 2021. p. 353-365. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-59194-6_29

An Application of MVMO Based Adaptive PID Controller for Process with Variable Delay

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Keywords

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