2013 American Control Conference 2013
DOI: 10.1109/acc.2013.6580039
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An optimal time-invariant approximation for wind turbine dynamics using the multi-blade coordinate transformation

Abstract: Wind turbines are subject to periodic loads that result in a time-varying "trim" condition. Linearizing the nonlinear turbine dynamics around this trim condition yields a periodic, linear time-varying (PLTV) system. A linear timeinvariant (LTI) approximation is typically obtained in two steps. First, the multi-blade coordinate transformation is applied to the PLTV system to obtain a weakly periodic system. Second, the state matrices of the weakly periodic system are averaged over one period to obtain an LTI ap… Show more

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Cited by 2 publications
(2 citation statements)
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References 10 publications
(18 reference statements)
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“…The MBC transformation not only can be applied to signals but also allows the conversion of a periodic state space model from a rotating into a non‐rotating coordinate system. The derivation of the transformation can be found in detail in Bir and Seiler and Ozdemir. States that represent the flapwise and edgewise degrees of freedom in the rotating frame are transformed to symmetric and asymmetric states in the fixed frame.…”
Section: Clipper Liberty Wind Turbinementioning
confidence: 99%
“…The MBC transformation not only can be applied to signals but also allows the conversion of a periodic state space model from a rotating into a non‐rotating coordinate system. The derivation of the transformation can be found in detail in Bir and Seiler and Ozdemir. States that represent the flapwise and edgewise degrees of freedom in the rotating frame are transformed to symmetric and asymmetric states in the fixed frame.…”
Section: Clipper Liberty Wind Turbinementioning
confidence: 99%
“…The MBC transformation cannot only be applied to signals but also allows the conversion of a periodic state space model from a rotating into a non-rotating coordinate system. The derivation of the state transformation is not provided here due to a lack of space, but interested readers find clear derivations in [4,8]. As for the signals, the flapwise and edgewise states are transformed to symmetric and asymmetric states, also referred to as collective and cyclic states [3].…”
Section: Linear Modelmentioning
confidence: 99%