Research and simulation of hydraulic turbine speed control system based on fuzzy control

Author:

Cai Xi,Li Xiaokun,He Xuemin,Yang Zahngbin,Peng Daixiao,Ao Chengyan

Publisher

Elsevier BV

Reference5 articles.

1. Using genetic algorithm to define the governor parameters of a hydraulic turbine[J];Andrade,2010

2. A novel design of high sensitive fuzzy PID controller[J];Gizi;Applied Soft Computing,2014

3. Data on Renewable Energy Described by Researchers at University of Zagreb (Application of an Adaptive Model Predictive Control Algorithm On the Pelton Turbine Governor Control)[J];Energy;;Energy Weekly News,2020

4. Presentation of artificial neural network models based on optimum theories for predicting accident severity on rural roads in Iran[J];Habibzadeh;Transportation Research Interdisciplinary Perspectives,2024

5. Improving soil organic carbon estimation in paddy fields using data augmentation algorithm and deep neural network model based on optimal image date[J];Lin;Computers and Electronics in Agriculture,2024

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