Fault tolerant control of an offshore wind turbine model via identified fuzzy prototypes
Fault tolerant control of an offshore wind turbine model via identified fuzzy prototypes
复制标题
通过识别的模糊原型对海上风力发电机模型进行容错控制
DOI：
10.1109/control.2014.6915188
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
P. Castaldi
中科院分区：
文献类型：
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作者：
S. Simani;S. Farsoni;P. Castaldi
为了提高海上风力涡轮机设施的安全性、可靠性、效率和可持续性，从而避免昂贵的计划外维护，在故障发生的早期适应故障是基本的。因此，这项工作的主要贡献包括一个故障适应计划的发展，适用于控制的风力涡轮机非线性模型。特别是，数据驱动的策略依赖于模糊模型被用来建立容错控制方案。模糊理论是利用这里，因为它可以很容易地近似未知的非线性模型和管理不确定的数据。此外，模糊原型，这是直接确定的风力涡轮机测量，提供所考虑的故障的重建，从而导致直接设计的容错控制模块。一般情况下，风力涡轮机系统的非线性会产生复杂的解析解。这方面的工作，其次是更简单的战略，依靠模糊原型，代表了关键点，当考虑到一个可行的应用所提出的方法，在线实现。一个现实的海上风力涡轮机模拟器被用来验证所提出的方法实现的性能。最后，与不同的容错控制方法的比较，突出所提出的方法的优点。
In order to improve the safety, the reliability, the efficiency, and the sustainability of offshore wind turbine installations, thus avoiding expensive unplanned maintenance, the accommodation of faults in their earlier occurrence is fundamental. Therefore, the main contribution of this work consists of the development of a fault accommodation scheme applied to the control of a wind turbine nonlinear model. In particular, a data-driven strategy relying on fuzzy models is exploited to build the fault tolerant control scheme. Fuzzy theory is exploited here since it allows to approximate easily the unknown nonlinear model and manage uncertain data. Moreover, the fuzzy prototypes, which are directly identified from the wind turbine measurements, provide the reconstruction of the considered faults, thus leading to the direct design of the fault tolerant control module. In general, the nonlinearity of wind turbine system could generate complex analytic solutions. This aspect of the work, followed by the simpler strategy relying on fuzzy prototypes, represents the key point when on-line implementations are considered for a viable application of the proposed methodology. A realistic offshore wind turbine simulator is used to validate the achieved performances of the suggested methodology. Finally, comparisons with different fault tolerant control methods serve to highlight the advantages of the suggested approach.