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

doi:10.1007/978-981-19-1540-6_14

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

Ingeniería Mecatrónica

Research output: Events › Scientific events › peer-review

1 Scopus citations

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 language	English
Pages	147-159
Number of pages	13
DOIs	https://doi.org/10.1007/978-981-19-1540-6_14
State	Published - 2023
Event	10th International Conference on Mechatronics and Control Engineering, ICMCE 2021 - Virtual, Online Duration: 26 Jul 2021 → 28 Jul 2021

Conference

Conference	10th International Conference on Mechatronics and Control Engineering, ICMCE 2021
City	Virtual, Online
Period	26/07/21 → 28/07/21

Keywords

Adaptive fuzzy PID
Distributed control system
IoT platform
Kaplan turbine

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10.1007/978-981-19-1540-6_14

Cite this

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

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.",

keywords = "Adaptive fuzzy PID, Distributed control system, IoT platform, Kaplan turbine, Adaptive fuzzy PID, Distributed control system, IoT platform, Kaplan turbine",

author = "Acevedo, {Hernando Gonz{\'a}lez} and Miguel Cordero and Andr{\'e}s Castro and Azarquiel Diaz",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 10th International Conference on Mechatronics and Control Engineering, ICMCE 2021 ; Conference date: 26-07-2021 Through 28-07-2021",

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Design of an Adaptive Fuzzy PID Controller and IoT Platform Implementation for a Teaching Module: Kaplan Turbine. / Acevedo, Hernando González; Cordero, Miguel; Castro, Andrés et al.
2023. 147-159 Paper presented at 10th International Conference on Mechatronics and Control Engineering, ICMCE 2021, Virtual, Online.

Research output: Events › Scientific events › peer-review

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AU - Acevedo, Hernando González

AU - Cordero, Miguel

AU - Castro, Andrés

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PY - 2023

Y1 - 2023

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AB - 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.

KW - Adaptive fuzzy PID

KW - Distributed control system

KW - IoT platform

KW - Kaplan turbine

KW - Adaptive fuzzy PID

KW - Distributed control system

KW - IoT platform

KW - Kaplan turbine

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DO - 10.1007/978-981-19-1540-6_14

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

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Keywords

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