2018
DOI: 10.3390/en11051296
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Parameterized Disturbance Observer Based Controller to Reduce Cyclic Loads of Wind Turbine

Abstract: This paper is concerned with bump-less transfer of parameterized disturbance observer based controller with individual pitch control strategy to reduce cyclic loads of wind turbine in full load operation. Cyclic loads are generated due to wind shear and tower shadow effects. Multivariable disturbance observer based linear controllers are designed with objective to reduce output power fluctuation, tower oscillation and drive-train torsion using optimal control theory. Linear parameterized controllers are design… Show more

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Cited by 10 publications
(9 citation statements)
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“…Disturbance accommodating-based control was also used in [28] to regulate rotor speed at above-rated wind speeds, mitigating at the same time cyclic blade root loads. Similarly, a parameterized disturbance observer-based controller with an individual pitch control strategy was designed in [29] to reduce cyclic loads generated due to wind shear and tower shadow effects. The proposed controller was able to reduce "output power fluctuation, tower oscillation and drive-train torsion" [29].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Disturbance accommodating-based control was also used in [28] to regulate rotor speed at above-rated wind speeds, mitigating at the same time cyclic blade root loads. Similarly, a parameterized disturbance observer-based controller with an individual pitch control strategy was designed in [29] to reduce cyclic loads generated due to wind shear and tower shadow effects. The proposed controller was able to reduce "output power fluctuation, tower oscillation and drive-train torsion" [29].…”
Section: Introductionmentioning
confidence: 99%
“…Similarly, a parameterized disturbance observer-based controller with an individual pitch control strategy was designed in [29] to reduce cyclic loads generated due to wind shear and tower shadow effects. The proposed controller was able to reduce "output power fluctuation, tower oscillation and drive-train torsion" [29]. An approach to estimate the fatigue loads based on the reconstruction of data series of the stochastic properties measured at wind turbines was discussed in [30,31].…”
Section: Introductionmentioning
confidence: 99%
“…One of the inputs to the testbed is the wind speed profile. At first, the wind speed is set to 10 m/s, which is below the rated wind speed (11.4 m/s) for 60 s. After that, the wind speed increases abruptly to 12 and 14 m/s at 60 and 90 s, respectively, to activate the pitch control mode [23]. After 300 s, the wind speed is rapidly decreased to 12 m/s.…”
Section: Test Resultsmentioning
confidence: 99%
“…where ρ is the air density, r v represents the effective wind speed on the turbine rotor [30], R is the rotor radius of VSWT, r w is the VSWT rotor angular speed, ( ( , ), ) p r r C λ v w β is the aerodynamic power coefficient, and β is the blade pitch angle. The tip speed ratio λ is defined as [30]:…”
Section: Rotor Aerodynamicsmentioning
confidence: 99%
“…y. Thus, the effective (relative) wind speed v r on the turbine rotor can be expressed with the normal wind speed w and the tower deflection as follows [30]:…”
Section: Tower Dynamicsmentioning
confidence: 99%