Active fault tolerant control of wind turbines using identified nonlinear filters
Active fault tolerant control of wind turbines using identified nonlinear filters
复制标题
使用识别的非线性滤波器对风力涡轮机进行主动容错控制
DOI：
10.1109/systol.2013.6693827
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
P. Castaldi
中科院分区：
文献类型：
--
作者：
S. Simani;S. Farsoni;P. Castaldi
针对风力涡轮机非线性系统中叶片桨距、转子转速和发电机转矩控制传感器的故障，提出了一种故障容错方案。这些测量值对于控制器性能以及风力涡轮机的监控模块都很重要。所提出的控制适应计划是基于识别的非线性滤波器，这也可以用来诊断这些故障。特别地，提出了一种非线性动态系统估计方案来获得这些干扰解耦的非线性滤波器，其提供故障信号的在线估计。该方案在高保真风力涡轮机模拟器上进行测试，在干扰和测量误差的存在下，沿着标称操作条件，包括不同的现实故障情况。仿真模型的试验验证了所提出的主动容错控制方案的可靠性。
This paper presents a scheme for accommodating faults in the blade pitch, rotor speed and generator torque control sensors of a wind turbine nonlinear system. These measured values are important both for the controller performance as well as the supervisory module of the wind turbine. The proposed control accommodation scheme is based on identified nonlinear filters, which can be also exploited to diagnose these faults. In particular, a nonlinear dynamic system estimation scheme is proposed to obtain these disturbance decoupled nonlinear filters, which provide the on-line estimate of the fault signals. The scheme is tested on a high-fidelity wind turbine simulator, in the presence of disturbance and measurement errors, along nominal operating conditions, including also different realistic fault situations. Tests on this simulated model show the the reliability features of the proposed active fault tolerant control scheme.