{"title":"Adaptive 2-DOF H∞ robust voltage control for PMSG considering uncertain disturbances","authors":"Zhenxing Cheng, Liyi Li, Xun Bai, Jiaxi Liu","doi":"10.1016/j.ijepes.2025.110582","DOIUrl":null,"url":null,"abstract":"<div><div>Gas turbine-driven permanent magnet synchronous generator (PMSG) face complex and uncertain load conditions, which can affect equipment performance and power supply reliability. To enhance system robustness, this paper proposes an adaptive two-degree-of-freedom (2-DOF) H∞ robust voltage control strategy for PMSG distributed generation system. The control structure consists of a two-degree-of-freedom H∞ controller and an adaptive internal model controller. First, an H∞ voltage controller with an H∞ load observer is proposed to suppress non-periodic disturbances. Then, an H∞ voltage feedforward controller is proposed to improve the response capabilities of the voltage command. Closed-loop stability is analyzed, and controller parameters are optimized accordingly. Finally, an adaptive internal model controller is proposed to estimate and suppress periodic load disturbances. The proposed control strategy is validated on a 60 kW turbine-driven PMSG platform. Experimental results demonstrate that the proposed control strategy significantly improves the robustness and reliability of power supply in PMSG generation system.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"166 ","pages":"Article 110582"},"PeriodicalIF":5.0000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electrical Power & Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142061525001334","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Gas turbine-driven permanent magnet synchronous generator (PMSG) face complex and uncertain load conditions, which can affect equipment performance and power supply reliability. To enhance system robustness, this paper proposes an adaptive two-degree-of-freedom (2-DOF) H∞ robust voltage control strategy for PMSG distributed generation system. The control structure consists of a two-degree-of-freedom H∞ controller and an adaptive internal model controller. First, an H∞ voltage controller with an H∞ load observer is proposed to suppress non-periodic disturbances. Then, an H∞ voltage feedforward controller is proposed to improve the response capabilities of the voltage command. Closed-loop stability is analyzed, and controller parameters are optimized accordingly. Finally, an adaptive internal model controller is proposed to estimate and suppress periodic load disturbances. The proposed control strategy is validated on a 60 kW turbine-driven PMSG platform. Experimental results demonstrate that the proposed control strategy significantly improves the robustness and reliability of power supply in PMSG generation system.
期刊介绍:
The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces.
As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.