Abstract
The stability analysis of in-operation wind turbines is a very important topic, that has received considerable attention in the last years. Many identification algorithms have been developed to estimate frequencies and damping ratios, but very few papers have been dedicated to the mode shapes. The knowledge of high-resolution mode shapes could be exploited for several applications including model validation, accurate description of the vibratory content of a machine and spatially-accurate damage detection. In this work, we will present a procedure to compute the high-resolution periodic mode shapes of a wind turbine, and apply it to a high-fidelity wind turbine model. The results show that this methodology is able to identify the first low-damped modes of the system with good accuracy.
Highlights
The results show that this methodology is able to identify the first low-damped modes of the system with good accuracy
An in-operation wind turbine is qualitatively different from a parked one since its motion makes it behave as a linear time-periodic (LTP) system
In this paper, we have presented a procedure to identify high-resolution periodic mode shapes of an in-operation wind turbine
Summary
An in-operation wind turbine is qualitatively different from a parked one since its motion makes it behave as a linear time-periodic (LTP) system. Like the individual pitch control, cyclically change the pitch of the blades, further increasing the periodicity of the system For these and other reasons, the stability analysis of an in-operation wind turbine, subject to a steady wind, should be conducted within a periodic framework, and by employing Floquet theory The stability analysis of a wind turbine often aims at estimating only the frequencies and damping ratios, but it is important to compute the periodic mode shapes, which are typically used to justify the damping of certain modes or to compare models, as well as simulation codes They have been used to construct a damage indicator based on the loss of isotropy of the rotor [2]. [6, 7], Yang identified the high-resolution mode shapes of wind turbine blades, but in those cases, the rotor was parked.
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