This paper proposes an adaptive sliding mode observer (ASMO)-based approach for wind turbines subject to simultaneous faults in sensors and actuators. The proposed approach enables the simultaneous detection of actuator and sensor faults without the need for any redundant hardware components. Additionally, wind speed variations are considered as unknown disturbances, thus eliminating the need for accurate measurement or estimation. The proposed ASMO enables the accurate estimation and reconstruction of the descriptor states and disturbances. The proposed design implements the principle of separation to enable the use of the nominal controller during faulty conditions. Fault tolerance is achieved by implementing a signal correction scheme to recover the nominal behavior. The performance of the proposed approach is validated using a 4.8 MW wind turbine benchmark model subject to various faults. Monte-Carlo analysis is also carried out to further evaluate the reliability and robustness of the proposed approach in the presence of measurement errors. Simplicity, ease of implementation and the decoupling property are among the positive features of the proposed approach.

中文翻译：

---

传感器和执行器同时故障的风力发电机解耦自适应滑模观测器设计。

本文提出了一种基于自适应滑模观测器（ASMO）的风力涡轮机方法，该方法在传感器和执行器同时发生故障的情况下。所提出的方法使得能够同时检测致动器和传感器故障，而不需要任何冗余的硬件组件。另外，风速变化被认为是未知的干扰，因此消除了对精确测量或估计的需求。所提出的ASMO使得能够准确地估计和重建描述符状态和干扰。提出的设计实现了分离原理，以便在出现故障时可以使用标称控制器。容错是通过实施信号校正方案来恢复正常行为而实现的。使用4验证了所提出方法的性能。8 MW风力发电机基准模型会遇到各种故障。还进行了蒙特卡洛分析，以在存在测量误差的情况下进一步评估所提出方法的可靠性和鲁棒性。简单，易于实现和去耦特性是该方法的积极特征。