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Parameter-varying modelling and fault reconstruction for wind turbine systems

机译:风力发电机系统的变参数建模与故障重构

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AbstractIn this paper, parameter-varying technique is firstly addressed for modelling a 4.8 MW wind turbine system which is nonlinear in essence. It is worthy to point out that the proposed parameter-varying model is capable of describing a nonlinear real-time process by using real-time system parameter updating. Secondly, fault reconstruction approach is proposed to reconstruct system component fault and actuator fault by utilizing augmented adaptive observer technique with parameter-varying. Different from the offline tuning adaptive scheme, the proposed adaptive observer includes adaptive tuning ability to online adjust the observer based on varying parameter. The effectiveness of the proposed parameter-varying modelling and fault reconstruction methods is demonstrated by using a widely-recognized 4.8 MW wind turbine benchmark system.HighlightsDevelop a parameter-varying modelling method for wind turbine systems.Propose an adaptive state/fault reconstruction approach for wind turbine systems.Real-time state/fault monitoring with on-line parameter updating.Simulation verification on a real-time 4.8MW benchmark wind turbine system.
机译: 摘要 本文首先研究了参数可变技术,用于建模本质上是非线性的4.8 MW风力涡轮机系统。值得指出的是,所提出的参数变化模型能够通过使用实时系统参数更新来描述非线性实时过程。其次,提出了一种故障重构方法,利用参数可变的增强型自适应观测器技术重构系统部件故障和执行器故障。与离线调整自适应方案不同,所提出的自适应观测器包括自适应调整功能,可基于变化的参数在线调整观测器。通过广泛认可的4.8 MW风力发电机基准系统,证明了所提出的参数变化建模和故障重建方法的有效性。 突出显示 开发用于风力涡轮机系统的参数可变建模方法。 < ce:list-item id =“ u0015”> 为风力涡轮机系统提出一种自适应状态/故障重构方法。 通过在线参数更新进行实时状态/故障监控。 在实时4.8MW基准风力涡轮机系统上的仿真验证。

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