Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
https://doi.org/10.5194/wes-2018-23
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research articles
03 Apr 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Wind Energy Science (WES).
Automatic detection and correction of pitch misalignment in wind turbine rotors
Marta Bertelè1, Carlo L. Bottasso1,2, and Stefano Cacciola2 1Wind Energy Institute, Technische Universität München, Garching bei München, 85748 Germany
2Dipartimento di Scienze e Tecnologie Aerospaziali, Politecnico di Milano, Milano, 20156 Italy
Abstract. In this work, a new algorithm is presented to correct for pitch misalignment imbalances of wind turbine rotors. The method uses signals measured in the fixed frame of the machine, typically in the form of accelerations or loads. The amplitude of the one per revolution signal harmonic is used to quantify the imbalance, while its phase to locate the unbalanced blade(s). The near linearity of the unknown relationship between harmonic amplitude and pitch misalignment is used to derive a simple algorithm that iteratively rebalances the rotor. This operation is conducted while the machine is in operation, without the need of shutting it down. The method is not only applicable to the case of a single misaligned blade, but also to the generic case of multiple concurrent imbalances. A part from the availability of acceleration or load sensors, the method requires the ability of the rotor blades to be commanded independently from one another, which is typically possible on many modern machines. The new method is demonstrated in a realistic simulation environment, using an aeroservoelastic wind turbine model in a variety of wind and operating conditions.
Citation: Bertelè, M., Bottasso, C. L., and Cacciola, S.: Automatic detection and correction of pitch misalignment in wind turbine rotors, Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2018-23, in review, 2018.
Marta Bertelè et al.
Marta Bertelè et al.
Marta Bertelè et al.

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Short summary
This work presents a new fully automated method to correct for pitch misalignment imbalances of wind turbine rotors. The method has minimal requirements, as it only assumes the availability of a sensor of sufficient accuracy and bandwidth to detect the 1P harmonic to the desired precision, and the ability to command the pitch setting of each blade independently from the others. Extensive numerical simulations are used to demonstrate the new procedure.
This work presents a new fully automated method to correct for pitch misalignment imbalances of...
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