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Adaptive Signal Processing Strategy for a Wind Farm System Fault Accommodation ?

机译:风电场系统故障适应的自适应信号处理策略

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In order to improve the availability of offshore wind farms, thus avoiding unplanned operation and maintenance costs, which can be high for offshore installations, the accommodation of faults in their earlier occurrence is fundamental. This paper addresses the design of an active fault tolerant control scheme that is applied to a wind park benchmark of nine wind turbines, based on their nonlinear models, as well as the wind and interactions between the wind turbines in the wind farm. Note that, due to the structure of the system and its control strategy, it can be considered as a fault tolerant cooperative control problem of an autonomous plant. The controller accommodation scheme provides the on-line estimate of the fault signals generated by nonlinear filters exploiting the nonlinear geometric approach to obtain estimates decoupled from both model uncertainty and the interactions among the turbines. This paper proposes also a data-driven approach to provide these disturbance terms in analytical forms, which are subsequently used for designing the nonlinear filters for fault estimation. This feature of the work, followed by the simpler solution relying on a data-driven approach, can represent the key point when on-line implementations are considered for a viable application of the proposed scheme.
机译:为了提高海上风电场的可用性,从而避免计划外的运营和维护成本(这对于海上设施而言可能是很高的成本),在早期发生故障时对故障进行处理是至关重要的。本文介绍了一种主动容错控制方案的设计,该方案基于九个风力涡轮机的非线性模型以及风场中风力和风力涡轮机之间的相互作用而应用于九个风力涡轮机的风电场基准。注意,由于系统的结构及其控制策略,可以将其视为自治工厂的容错协作控制问题。控制器调节方案利用非线性几何方法提供由非线性滤波器生成的故障信号的在线估计,以获得与模型不确定性和涡轮机之间的相互作用不相关的估计。本文还提出了一种数据驱动的方法,以解析形式提供这些干扰项,随后将其用于设计故障估计的非线性滤波器。这项工作的特点,再加上依赖于数据驱动方法的更简单的解决方案,可以代表在考虑将在线实施方案用于提议的方案的可行应用时的关键点。

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