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<p>In the presented study, a methodology utilizing a modified sliding mode observer is developed for the estimation of actuator faults within wind turbine systems. The analysis specifically targets faults in the generator torque actuator and the hydraulic pitch actuator. The observer's design is formulated through an application of Linear Matrix Inequality optimization techniques. The significant variance in magnitude between the blade pitch angle and the generator torque necessitates a robust fault detection and isolation strategy. Modifications are proposed for the traditional sliding mode observer to augment its efficacy. The precision of the fault reconstruction is systematically quantified using the Root Mean Square Error. The results substantiate that the devised method proficiently detects, isolates, and reconstructs faults, thereby confirming its effectiveness in enhancing the operational reliability of wind turbine systems.</p>

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Fault reconstruction of wind turbine actuators based on a modified sliding mode observer and evaluation of its accuracy using the root mean square error criterion

  • 期刊论文

  • 发表日期：

    2025年2月14日

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  • Mohammed Taouil,
  • Abdelghani El Ougli,
  • Belkassem Tidhaf

摘要

In the presented study, a methodology utilizing a modified sliding mode observer is developed for the estimation of actuator faults within wind turbine systems. The analysis specifically targets faults in the generator torque actuator and the hydraulic pitch actuator. The observer's design is formulated through an application of Linear Matrix Inequality optimization techniques. The significant variance in magnitude between the blade pitch angle and the generator torque necessitates a robust fault detection and isolation strategy. Modifications are proposed for the traditional sliding mode observer to augment its efficacy. The precision of the fault reconstruction is systematically quantified using the Root Mean Square Error. The results substantiate that the devised method proficiently detects, isolates, and reconstructs faults, thereby confirming its effectiveness in enhancing the operational reliability of wind turbine systems.