Design of an Adaptive Fuzzy PID Controller and IoT Platform Implementation for a Teaching Module: Kaplan Turbine

Hernando González Acevedo, Miguel Cordero, Andrés Castro, Azarquiel Diaz

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Abstract

The paper presents the dynamic model of a Kaplan turbine coupled to a DC generator, which is part of the H112D teaching module. An adaptive Fuzzy PID controller was designed and it was implemented in a distributed control system, Delta V. For the register of variables was implemented an IoT platform and Heroku was selected as the web server, which supports several programming languages that are used for web application. The control strategy is evaluated by a variable reference signal, leading to limits that saturate the actuator. The nonlinear control technique guarantees a similar transient response at different operating points.

Original languageEnglish
Title of host publicationProceedings of 10th International Conference on Mechatronics and Control Engineering, ICMCE 2021
EditorsGiuseppe Conte, Olivier Sename
PublisherSpringer Science and Business Media Deutschland GmbH
Pages147-159
Number of pages13
ISBN (Print)9789811915390
DOIs
StatePublished - 2023
Event10th International Conference on Mechatronics and Control Engineering, ICMCE 2021 - Virtual, Online
Duration: 26 Jul 202128 Jul 2021

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference10th International Conference on Mechatronics and Control Engineering, ICMCE 2021
CityVirtual, Online
Period26/07/2128/07/21

Keywords

  • Adaptive fuzzy PID
  • Distributed control system
  • IoT platform
  • Kaplan turbine

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