Abstract
This paper presents a model-based scheme for fault detection of a blade pitch system in floating wind turbines. A blade pitch system is one of the most critical components due to its effect on the operational safety and the dynamics of wind turbines. Faults in this system should be detected at the early stage to prevent failures. To detect faults of blade pitch actuators and sensors, an appropriate observer should be designed to estimate the states of the system. Residuals are generated by a Kalman filter and a threshold based on H optimization, and linear matrix inequality (LMI) is used for residual evaluation. The proposed method is demonstrated in a case study that bias and fixed output in pitch sensors and stuck in pitch actuators. The simulation results show that the proposed method detects different realistic fault scenarios of wind turbines under the stochastic external winds.
Highlights
Maintenance and repair of offshore wind turbines are challenging because of the difficult access
This paper presents a model-based scheme for fault detection of a blade pitch system in floating wind turbines
Residuals are generated by a Kalman filter and a threshold based on H∞ optimization, and linear matrix inequality (LMI) is used for residual evaluation
Summary
Maintenance and repair of offshore wind turbines are challenging because of the difficult access. This paper deals with a fault detection method in blade pitch sensors and actuators of a wind turbine model by using Kalman filter. Faults generated in blade pitch sensors and actuators can be detected by this observer based on residual generation and evaluation method by using a threshold. The discrete-time state space model of the blade pitch system with disturbance and faults in the pitch actuator and sensor can be transferred from the proposed system (4) and (5) that Euler discretization approach is applied. Where βSA is the pitch angle for the stuck actuator These faults for the blade pitch sensor and actuator frequently appear and result in structural loading of the turbine due to rotor imbalance and affect the stability of the floating platform.
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