I + PD Temperature Controller Tuned for Ant Colony Optimization (ACO) on an ARM Platform

William Montalvo; Deisy Guanochanga; John Chapaca

doi:10.1007/978-981-16-4126-8_22

I + PD Temperature Controller Tuned for Ant Colony Optimization (ACO) on an ARM Platform

William Montalvo
, Deisy Guanochanga
, John Chapaca

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

1 Scopus citations

Abstract

In recent years, the development of new industrial processes in engineering areas has allowed the implementation of new control strategies to ensure the effective operation of the control process within the industry. This paper presents the development of an I + PD controller for a temperature process applied to a control plant trainer (CPT); using the bio-heuristic method of ant colony optimization (ACO) to obtain the appropriate parameters for the tuning of the controller in the plant. On the STM32F board with advanced RISC machine (ARM) technology, the controller is implemented, allowing the sending and receiving of data in real time; for the design of the I + PD control, MATLAB/SIMULINK software is used, working together with the Wainjung library, which allows data collection. To verify the efficiency of the I + PD control, the Wilcoxon test is used, which analyzes the Integral of the time-weighted absolute error (ITAE) of the I + PD control versus the ITAE of a conventional PID control.

Original language	English
Title of host publication	Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021
Editors	Álvaro Rocha, Paulo Carlos López-López, Juan Pablo Salgado-Guerrero
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	229-239
Number of pages	11
ISBN (Print)	9789811641251
DOIs	https://doi.org/10.1007/978-981-16-4126-8_22
State	Published - 2022
Event	7th International Conference on Science, Technology and Innovation for Society, CITIS 2021 - Virtual, Online Duration: 26 May 2021 → 28 May 2021

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	252

Conference

Conference	7th International Conference on Science, Technology and Innovation for Society, CITIS 2021
City	Virtual, Online
Period	26/05/21 → 28/05/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

Ant colony optimization (ACO)
I + PD control
Integral of the time-weighted absolute error (ITAE)

CACES Knowledge Areas

417A Electronics, Automation and Sound

Access to Document

10.1007/978-981-16-4126-8_22

Cite this

Montalvo, W., Guanochanga, D., & Chapaca, J. (2022). I + PD Temperature Controller Tuned for Ant Colony Optimization (ACO) on an ARM Platform. In Á. Rocha, P. C. López-López, & J. P. Salgado-Guerrero (Eds.), Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021 (pp. 229-239). (Smart Innovation, Systems and Technologies; Vol. 252). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-4126-8_22

Montalvo, William ; Guanochanga, Deisy ; Chapaca, John. / I + PD Temperature Controller Tuned for Ant Colony Optimization (ACO) on an ARM Platform. Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021. editor / Álvaro Rocha ; Paulo Carlos López-López ; Juan Pablo Salgado-Guerrero. Springer Science and Business Media Deutschland GmbH, 2022. pp. 229-239 (Smart Innovation, Systems and Technologies).

@inproceedings{0be4c555b7ba48b987f371ca3980a400,

title = "I + PD Temperature Controller Tuned for Ant Colony Optimization (ACO) on an ARM Platform",

abstract = "In recent years, the development of new industrial processes in engineering areas has allowed the implementation of new control strategies to ensure the effective operation of the control process within the industry. This paper presents the development of an I + PD controller for a temperature process applied to a control plant trainer (CPT); using the bio-heuristic method of ant colony optimization (ACO) to obtain the appropriate parameters for the tuning of the controller in the plant. On the STM32F board with advanced RISC machine (ARM) technology, the controller is implemented, allowing the sending and receiving of data in real time; for the design of the I + PD control, MATLAB/SIMULINK software is used, working together with the Wainjung library, which allows data collection. To verify the efficiency of the I + PD control, the Wilcoxon test is used, which analyzes the Integral of the time-weighted absolute error (ITAE) of the I + PD control versus the ITAE of a conventional PID control.",

keywords = "Ant colony optimization (ACO), I + PD control, Integral of the time-weighted absolute error (ITAE)",

author = "William Montalvo and Deisy Guanochanga and John Chapaca",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 7th International Conference on Science, Technology and Innovation for Society, CITIS 2021 ; Conference date: 26-05-2021 Through 28-05-2021",

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Montalvo, W, Guanochanga, D & Chapaca, J 2022, I + PD Temperature Controller Tuned for Ant Colony Optimization (ACO) on an ARM Platform. in Á Rocha, PC López-López & JP Salgado-Guerrero (eds), Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021. Smart Innovation, Systems and Technologies, vol. 252, Springer Science and Business Media Deutschland GmbH, pp. 229-239, 7th International Conference on Science, Technology and Innovation for Society, CITIS 2021, Virtual, Online, 26/05/21. https://doi.org/10.1007/978-981-16-4126-8_22

I + PD Temperature Controller Tuned for Ant Colony Optimization (ACO) on an ARM Platform. / Montalvo, William; Guanochanga, Deisy; Chapaca, John.
Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021. ed. / Álvaro Rocha; Paulo Carlos López-López; Juan Pablo Salgado-Guerrero. Springer Science and Business Media Deutschland GmbH, 2022. p. 229-239 (Smart Innovation, Systems and Technologies; Vol. 252).

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

TY - GEN

T1 - I + PD Temperature Controller Tuned for Ant Colony Optimization (ACO) on an ARM Platform

AU - Montalvo, William

AU - Guanochanga, Deisy

AU - Chapaca, John

PY - 2022

Y1 - 2022

N2 - In recent years, the development of new industrial processes in engineering areas has allowed the implementation of new control strategies to ensure the effective operation of the control process within the industry. This paper presents the development of an I + PD controller for a temperature process applied to a control plant trainer (CPT); using the bio-heuristic method of ant colony optimization (ACO) to obtain the appropriate parameters for the tuning of the controller in the plant. On the STM32F board with advanced RISC machine (ARM) technology, the controller is implemented, allowing the sending and receiving of data in real time; for the design of the I + PD control, MATLAB/SIMULINK software is used, working together with the Wainjung library, which allows data collection. To verify the efficiency of the I + PD control, the Wilcoxon test is used, which analyzes the Integral of the time-weighted absolute error (ITAE) of the I + PD control versus the ITAE of a conventional PID control.

AB - In recent years, the development of new industrial processes in engineering areas has allowed the implementation of new control strategies to ensure the effective operation of the control process within the industry. This paper presents the development of an I + PD controller for a temperature process applied to a control plant trainer (CPT); using the bio-heuristic method of ant colony optimization (ACO) to obtain the appropriate parameters for the tuning of the controller in the plant. On the STM32F board with advanced RISC machine (ARM) technology, the controller is implemented, allowing the sending and receiving of data in real time; for the design of the I + PD control, MATLAB/SIMULINK software is used, working together with the Wainjung library, which allows data collection. To verify the efficiency of the I + PD control, the Wilcoxon test is used, which analyzes the Integral of the time-weighted absolute error (ITAE) of the I + PD control versus the ITAE of a conventional PID control.

KW - Ant colony optimization (ACO)

KW - I + PD control

KW - Integral of the time-weighted absolute error (ITAE)

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U2 - 10.1007/978-981-16-4126-8_22

DO - 10.1007/978-981-16-4126-8_22

M3 - Conference contribution

AN - SCOPUS:85116823044

SN - 9789811641251

T3 - Smart Innovation, Systems and Technologies

SP - 229

EP - 239

BT - Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021

A2 - Rocha, Álvaro

A2 - López-López, Paulo Carlos

A2 - Salgado-Guerrero, Juan Pablo

PB - Springer Science and Business Media Deutschland GmbH

T2 - 7th International Conference on Science, Technology and Innovation for Society, CITIS 2021

Y2 - 26 May 2021 through 28 May 2021

ER -

Montalvo W, Guanochanga D, Chapaca J. I + PD Temperature Controller Tuned for Ant Colony Optimization (ACO) on an ARM Platform. In Rocha Á, López-López PC, Salgado-Guerrero JP, editors, Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 229-239. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-16-4126-8_22

I + PD Temperature Controller Tuned for Ant Colony Optimization (ACO) on an ARM Platform

Abstract

Publication series

Conference

Bibliographical note

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

Fingerprint

Development of PID Biocontrollers for a Ball and Plate System Feedback with Artificial Vision

Cite this

I + PD Temperature Controller Tuned for Ant Colony Optimization (ACO) on an ARM Platform

Abstract

Publication series

Conference

Bibliographical note

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

Fingerprint

Projects

Development of PID Biocontrollers for a Ball and Plate System Feedback with Artificial Vision

Cite this