{"title":"Fixed‐time fault‐tolerant control for power system with multiple actuator constraints","authors":"Wen Bai, Peter Xiaoping Liu, Huanqing Wang","doi":"10.1002/asjc.3471","DOIUrl":null,"url":null,"abstract":"This paper copes with the fixed‐time fault‐tolerant control problem for a single‐machine infinite power system with static VAR compensators. In order to handle the controller design problem caused by the actuator failures and unknown dead zone input, a fuzzy fault‐tolerant control algorithm is derived by introducing the adaptive backstepping method. An adaptive fixed‐time control strategy is designed to guarantee that the output signal can track the desired trajectory within a fixed time, where the convergence time is independent of the initial condition. Compared with existing results, the proposed controller guarantees the controlled system maintains semiglobal fixed‐time stability and the tracking error converges to a small neighborhood around zero. Both actuator faults and dead zones have been considered, which can better meet the practical control requirements. A simulation example demonstrates the designed controller.","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"28 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Control","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1002/asjc.3471","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper copes with the fixed‐time fault‐tolerant control problem for a single‐machine infinite power system with static VAR compensators. In order to handle the controller design problem caused by the actuator failures and unknown dead zone input, a fuzzy fault‐tolerant control algorithm is derived by introducing the adaptive backstepping method. An adaptive fixed‐time control strategy is designed to guarantee that the output signal can track the desired trajectory within a fixed time, where the convergence time is independent of the initial condition. Compared with existing results, the proposed controller guarantees the controlled system maintains semiglobal fixed‐time stability and the tracking error converges to a small neighborhood around zero. Both actuator faults and dead zones have been considered, which can better meet the practical control requirements. A simulation example demonstrates the designed controller.
本文探讨了带有静态 VAR 补偿器的单机无限电力系统的固定时间容错控制问题。为了处理由执行器故障和未知死区输入引起的控制器设计问题,本文通过引入自适应反步进方法,推导出一种模糊容错控制算法。设计了一种自适应固定时间控制策略,以保证输出信号能在固定时间内跟踪所需的轨迹,收敛时间与初始条件无关。与现有结果相比,所提出的控制器能保证受控系统保持半全局定时稳定性,并且跟踪误差收敛到零附近的小范围内。同时还考虑了执行器故障和死区,能更好地满足实际控制要求。一个仿真实例演示了所设计的控制器。
期刊介绍:
The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application.
Published six times a year, the Journal aims to be a key platform for control communities throughout the world.
The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive.
Topics include:
The theory and design of control systems and components, encompassing:
Robust and distributed control using geometric, optimal, stochastic and nonlinear methods
Game theory and state estimation
Adaptive control, including neural networks, learning, parameter estimation
and system fault detection
Artificial intelligence, fuzzy and expert systems
Hierarchical and man-machine systems
All parts of systems engineering which consider the reliability of components and systems
Emerging application areas, such as:
Robotics
Mechatronics
Computers for computer-aided design, manufacturing, and control of
various industrial processes
Space vehicles and aircraft, ships, and traffic
Biomedical systems
National economies
Power systems
Agriculture
Natural resources.