{"title":"基于广义逆求解法的水轮机调节系统改进型内模控制器设计。","authors":"Jiwen Zhang, Shaojie Liu, Xingxing Huang, Wen Tan, Donghai Li, Zhengwei Wang","doi":"10.1038/s41598-025-98223-5","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"19031"},"PeriodicalIF":3.9000,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12125214/pdf/","citationCount":"0","resultStr":"{\"title\":\"Design of improved internal mode controller for hydro-turbine governing system based on generalized inverse solver method.\",\"authors\":\"Jiwen Zhang, Shaojie Liu, Xingxing Huang, Wen Tan, Donghai Li, Zhengwei Wang\",\"doi\":\"10.1038/s41598-025-98223-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":21811,\"journal\":{\"name\":\"Scientific Reports\",\"volume\":\"15 1\",\"pages\":\"19031\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12125214/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Reports\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41598-025-98223-5\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Reports","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41598-025-98223-5","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
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.
期刊介绍:
We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections.
Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021).
•Engineering
Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live.
•Physical sciences
Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics.
•Earth and environmental sciences
Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems.
•Biological sciences
Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants.
•Health sciences
The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.