Development and Analysis of a PID Controller and a Fuzzy PID

Morelva Saeteros, Wilman Paucar, Cristian Molina, Gustavo Caiza

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This document presents the development of a Proportional Integral Derivative (PID) and a Fuzzy-PID, for the control of the level of the MPS PA plant, which is constituted by industrial sensors and actuators. The mathematical model and the parameters of the system were obtained using the software the MATLAB environment using a STM32F4 card. The experimental results show the robustness of the Fuzzy PID, because it improves the response of the system and its parameters are tuned automatically according to the state of the process, thus enhancing the performance of the system. Besides, the conventional PID controller requires an adjustment of its parameters to operate in an optimal for each change of variable, and it does not respond efficiently to disturbances.

Original languageEnglish
Title of host publicationAdvances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019
EditorsJyrki Nummenmaa, Federico Pérez-González, Bruno Domenech-Lega, Jean Vaunat, Félix Oscar Fernández-Peña
PublisherSpringer
Pages143-154
Number of pages12
ISBN (Print)9783030336134
DOIs
StatePublished - 1 Jan 2020
Event1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019 - Ambato, Ecuador
Duration: 28 Oct 201931 Oct 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1078
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019
Country/TerritoryEcuador
CityAmbato
Period28/10/1931/10/19

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

Keywords

  • Automation
  • Fuzzy PID
  • PID

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