Design of improved internal mode controller for hydro-turbine governing system based on generalized inverse solver method

Hydropower unit plays a more and more important role in guaranteeing the safe and stable operation of the power system and providing high-quality power supply. As a non-minimum phase system, one of the most concerned problems is the design of hydro-turbine governing system (HTGS). Internal mode control (IMC) is a good method for turbine speed control system. To solve the problem of inverse difficulty when conventional IMC is used for hydro-generator (non-minimum phase system), this paper proposes an improved IMC based on generalized inverse solver (GIS). The article verifies the superiority of this control method for different types of linear systems through simulation. At the same time, this method is applied to the hydro generator speed control system. Compared with IMC and some improved PID algorithms, IMC with GIS algorithm shows advantages in terms of tracking response and anti-disturbance performance. It achieves overshoot-free tracking with 30% less inversion and 31% shorter recovery time after failure. The response time fluctuation is reduced by 46% compared with other algorithms, which shows stronger robustness when facing the parameter ingestion problem.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-05-30
DOI
https://doi.org/10.1038/s41598-025-98223-5
Primary Topic
Hydraulic and Pneumatic Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of improved internal mode controller for hydro-turbine governing system based on generalized inverse solver method

Jiwen Zhang, Zhengwei Wang, Shaojie Liu, Wen Tan et al.
Scientific Reports
Hydraulic and Pneumatic Systems
article

Design of improved internal mode controller for hydro-turbine governing system based on generalized inverse solver method

Jiwen Zhang, Zhengwei Wang, Shaojie Liu, Wen Tan, Donghai Li, Xingxing Huang
article en

Abstract

Hydropower unit plays a more and more important role in guaranteeing the safe and stable operation of the power system and providing high-quality power supply. As a non-minimum phase system, one of the most concerned problems is the design of hydro-turbine governing system (HTGS). Internal mode control (IMC) is a good method for turbine speed control system. To solve the problem of inverse difficulty when conventional IMC is used for hydro-generator (non-minimum phase system), this paper proposes an improved IMC based on generalized inverse solver (GIS). The article verifies the superiority of this control method for different types of linear systems through simulation. At the same time, this method is applied to the hydro generator speed control system. Compared with IMC and some improved PID algorithms, IMC with GIS algorithm shows advantages in terms of tracking response and anti-disturbance performance. It achieves overshoot-free tracking with 30% less inversion and 31% shorter recovery time after failure. The response time fluctuation is reduced by 46% compared with other algorithms, which shows stronger robustness when facing the parameter ingestion problem.

Scientific ReportsVol. 15(1)
North China University of Technology (CN), Swiss Federal Office of Energy (CH), Tsinghua University (CN)
Affordable and clean energy
Openalex Percentile: Top 88%
Hydraulic and Pneumatic Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Design of improved internal mode controller for hydro-turbine governing system based on generalized inverse solver method — Jiwen Zhang, Zhengwei Wang, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS