Design of a novel state-feedback robust $$H_2/H_{\infty }$$ sliding-mode controller for a hydraulic turbine governing system DOI Creative Commons

Fang Dao,

Yidong Zou, Jing Qian

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 23, 2024

Language: Английский

Fault Diagnosis of Hydro-Turbine Based on CEEMDAN-MPE Preprocessing Combined with CPO-BILSTM Modelling DOI Creative Commons
Naihua Duan, Yun Zeng,

Fang Dao

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(6), P. 1342 - 1342

Published: March 9, 2025

The accuracy of hydro-turbine fault diagnosis directly impacts the safety and operational efficiency hydroelectric power generation systems. This paper addresses challenge low diagnostic in traditional methods under complex environments. is achieved by proposing a signal preprocessing method that combines complete ensemble empirical mode decomposition with adaptive noise multiscale permutation entropy (CEEMDAN-MPE) optimized crested porcupine optimizer algorithm for bidirectional long- short-term memory network (CPO-BILSTM) model diagnosis. performs denoising using CEEMDAN, while MPE extracts key features. Furthermore, hyperparameters CPO-optimized BILSTM are innovatively introduced. extracted features fed into CPO-BILSTM A total 150 sets acoustic vibrational signals collected validation test bench different operating conditions. experimental results demonstrate 96.67%, representing improvements 23.34%, 16.67%, 6.67% over models such as LSTM (73.33%), CNN (80%), (90%), respectively. In order to verify effectiveness method, this paper, original signal, processed CEEMDAN-PE, CEEMDAN-MPE input controlled experiments. effectively denoises preserving integrates deep learning and, help intelligent optimization algorithms, significantly enhances model’s ability, improves applicability conditions, provides valuable supplement

Language: Английский

Citations

0

Cooperative control of hydrogen-energy storage microgrid system based on disturbance-rejection model predictive control DOI Creative Commons
Jianling Li, Jiayang Hu, Dixi Xin

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 118, P. 116242 - 116242

Published: March 18, 2025

Language: Английский

Citations

0

Multi-objective optimal design of an optimal fuzzy fractional order PID controller for fractional order hydraulic turbine regulating system DOI
Shiyu Xi,

Zhihuan Chen

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127904 - 127904

Published: May 1, 2025

Language: Английский

Citations

0

A dynamic migration route planning optimization strategy based on real-time energy state observation considering flexibility and energy efficiency of thermal power unit DOI
Feng Hong, Yuzheng Zhao,

Weiming Ji

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 377, P. 124575 - 124575

Published: Sept. 26, 2024

Language: Английский

Citations

1

Design of a novel state-feedback robust $$H_2/H_{\infty }$$ sliding-mode controller for a hydraulic turbine governing system DOI Creative Commons

Fang Dao,

Yidong Zou, Jing Qian

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 23, 2024

Language: Английский

Citations

0