Design of an Adaptive Fuzzy PID Controller and IoT Platform Implementation for a Teaching Module: Kaplan Turbine-Reference-Cited by-同舟云学术

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

Published:2022-07-14 Issue: Volume: Page:147-159
ISSN:2195-4356
Container-title:Lecture Notes in Mechanical Engineering
language:
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Author:

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

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-1540-6_14

Reference16 articles.

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4. Lei G (2017). Application improved particle swarm algorithm in parameter optimization of hydraulic turbine governing systems. In: IEEE 3rd information technology and mechatronics engineering conference (ITOEC), Oct 2017. ISBN: 978–1–5090–5363–6. https://doi.org/10.1109/ITOEC.2017.8122532

5. Zhang Y; Zhou J, Xu Y, Zheng Y (2018) Parameter identification of hydraulic turbine governing system using white-box mapping model and RBF neural network. In: Eighth international conference on instrumentation & measurement, computer, communication and control (IMCCC), July 2018. ISBN: 978–1–5386–8246–3. https://doi.org/10.1109/IMCCC.2018,00030