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Active fault tolerant control of wind turbines using identified nonlinear filters

机译:使用已识别的非线性滤波器的风力发电机组主动容错控制

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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.
机译:本文提出了一种解决风力涡轮机非线性系统的叶片变桨,转子转速和发电机转矩控制传感器中的故障的方案。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。所提出的控制调节方案基于已识别的非线性滤波器,也可以用于诊断这些故障。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非线性滤波器,该滤波器提供了故障信号的在线估计。在存在干扰和测量误差的情况下,沿着标称运行条件(包括不同的实际故障情况),在高保真风力涡轮机模拟器上对该方案进行了测试。在此仿真模型上的测试表明了所提出的主动容错控制方案的可靠性特征。

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