{"title":"Event-triggered fixed-time control for marine generator excitation system with super-twisting observer","authors":"Xiaoyuan Luo , Jiahui Dong , Shaoping Chang , Xinping Guan","doi":"10.1016/j.jfranklin.2026.108462","DOIUrl":null,"url":null,"abstract":"<div><div>This research proposes a swift and accurate control strategy for a generator’s excitation system being easily perturbed during normal operation. The strategy is developed based on the event-triggered mechanism and fixed-time stabilization theory. To begin with, the mathematical models of the generator and its excitation control system are established, and the impact of external disturbances is analyzed. Then, an event-triggered fixed-time super-twisting observer is introduced to reduce the system’s susceptibility to perturbations by estimating and compensating for them. Simultaneously, a controller is designed using this observer to ensure the system state converges within a fixed time, with the upper bound of convergence time independent of the initial state. Ultimately, Lyapunov theory is employed to validate the fixed-time convergence of the controller and observer while avoiding the Zeno phenomenon. Simulation results confirm the effectiveness of the proposed strategy in detecting and resisting perturbations, improving system performance, and reducing energy consumption and update frequency.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"363 5","pages":"Article 108462"},"PeriodicalIF":4.2000,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003226000621","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/3 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This research proposes a swift and accurate control strategy for a generator’s excitation system being easily perturbed during normal operation. The strategy is developed based on the event-triggered mechanism and fixed-time stabilization theory. To begin with, the mathematical models of the generator and its excitation control system are established, and the impact of external disturbances is analyzed. Then, an event-triggered fixed-time super-twisting observer is introduced to reduce the system’s susceptibility to perturbations by estimating and compensating for them. Simultaneously, a controller is designed using this observer to ensure the system state converges within a fixed time, with the upper bound of convergence time independent of the initial state. Ultimately, Lyapunov theory is employed to validate the fixed-time convergence of the controller and observer while avoiding the Zeno phenomenon. Simulation results confirm the effectiveness of the proposed strategy in detecting and resisting perturbations, improving system performance, and reducing energy consumption and update frequency.
期刊介绍:
The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.