Observer design and optimization for model-based condition monitoring of the wind turbine rotor blades using genetic algorithm

In this paper a model based approach for condition monitoring and diagnosis of faults in the wind turbine rotor blades is described. The investigation is focused on creating a fault-free reference system, the design and optimization of the controller/observer based on the Disturbance Accommodating C...

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Bibliographic Details
Published in:Journal of physics. Conference series 2018-06, Vol.1037 (3), p.32027
Main Authors: Meng, Fanzhong, Meyer, Tobias, Thomas, Philipp, Wenske, Jan
Format: Article
Language:English
Subjects:
Condition monitoring
Control theory
Design optimization
Fault diagnosis
Genetic algorithms
Multiple objective analysis
Optimization
Physics
Pitch (inclination)
Reference systems
Rotor blades
Rotor blades (turbomachinery)
Wind turbines
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Summary:In this paper a model based approach for condition monitoring and diagnosis of faults in the wind turbine rotor blades is described. The investigation is focused on creating a fault-free reference system, the design and optimization of the controller/observer based on the Disturbance Accommodating Control theory and the multi-objective genetic optimization algorithm in order to further enhance the condition monitoring and faults diagnosis. Test cases are presented by injecting a parameter change, e.g. pitch angle, as an error to the non-linear wind turbine simulation model in order to demonstrate that the proposed method is able to detect the fault on the blades.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1037/3/032027