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Active sensor fault tolerant output feedback tracking control for wind turbine systems via T-S model

机译:通过T-S模型对风力发电机系统进行主动传感器容错输出反馈跟踪控制

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摘要

This paper presents a new approach to active sensor fault tolerant tracking control (FTTC) for offshore wind turbine (OWT) described via Takagi-Sugeno (T-S) multiple models. The FTTC strategy is designed in such way that aims to maintain nominal wind turbine controller without any change in both fault and fault-free cases. This is achieved by inserting T-S proportional state estimators augmented with proportional and integral feedback (PPI) fault estimators to be capable to estimate different generators and rotor speed sensors fault for compensation purposes. Due to the dependency of the FTTC strategy on the fault estimation the designed observer has the capability to estimate a wide range of time varying fault signals. Moreover, the robustness of the observer against the difference between the anemometer wind speed measurement and the immeasurable effective wind speed signal has been taken into account. The corrected measurements fed to a T-S fuzzy dynamic output feedback controller (TSDOFC) designed to track the desired trajectory. The stability proof with H_∞ performance and D-stability constraints is formulated as a Linear Matrix Inequality (LMI) problem. The strategy is illustrated using a non-linear benchmark system model of a wind turbine offered within a competition led by the companies Mathworks and KK-Electronic.
机译:本文提出了一种通过Takagi-Sugeno(T-S)多种模型描述的用于海上风力发电机(OWT)的主动传感器容错跟踪控制(FTTC)的新方法。 FTTC策略的设计旨在保持标称风力涡轮机控制器的正常运行,而无故障和无故障情况都不会改变。这是通过插入T-S比例状态估计器实现的,该估计器用比例和积分反馈(PPI)故障估计器进行了扩充,以便能够估计不同的发电机和转子速度传感器故障以进行补偿。由于FTTC策略对故障估计的依赖性,因此设计的观测器具有估算各种时变故障信号的能力。而且,已经考虑到观察者抵抗风速计风速测量和不可测量的有效风速信号之间的差异的鲁棒性。校正后的测量值被馈送到旨在跟踪所需轨迹的T-S模糊动态输出反馈控制器(TSDOFC)。具有H_∞性能和D稳定性约束的稳定性证明被公式化为线性矩阵不等式(LMI)问题。通过在Mathworks和KK-Electronic公司领导的竞赛中提供的风力涡轮机的非线性基准系统模型来说明该策略。

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