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首页> 外文期刊>Automatica Sinica, IEEE/CAA Journal of >Decoupling Adaptive Sliding Mode Observer Design for Wind Turbines Subject to Simultaneous Faults in Sensors and Actuators
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Decoupling Adaptive Sliding Mode Observer Design for Wind Turbines Subject to Simultaneous Faults in Sensors and Actuators

机译:用于风力涡轮机的自适应滑模观测器设计,经过传感器和执行器的同时断层

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摘要

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.
机译:本文提出了一种自适应滑动模式观察者(ASMO),用于对传感器和致动器同时出现故障的风力涡轮机的基于接近。所提出的方法可以同时检测执行器和传感器故障,而无需任何冗余硬件组件。另外,风速变化被认为是未知的干扰,从而消除了对精确测量或估计的需求。建议的ASMO能够准确估计和重建描述符状态和干扰。所提出的设计实现了分离原则,以使得在故障条件下使用标称控制器。通过实现信号校正方案来实现容错耐受以恢复标称行为来实现。使用4.8 MW风力涡轮机基准模型进行验证,验证了所提出的方法的性能。还开展了Monte-Carlo分析,以进一步评估所提出的方法在存在测量误差中的可靠性和鲁棒性。简单性,易于实现和解耦性质是所提出的方法的正面特征。

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