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 proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationCommunication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021
EditorsÁlvaro Rocha, Paulo Carlos López-López, Juan Pablo Salgado-Guerrero
PublisherSpringer Science and Business Media Deutschland GmbH
Pages229-239
Number of pages11
ISBN (Print)9789811641251
DOIs
StatePublished - 2022
Event7th International Conference on Science, Technology and Innovation for Society, CITIS 2021 - Virtual, Online
Duration: 26 May 202128 May 2021

Publication series

NameSmart Innovation, Systems and Technologies
Volume252
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference7th International Conference on Science, Technology and Innovation for Society, CITIS 2021
CityVirtual, Online
Period26/05/2128/05/21

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)

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