Individual blade pitch control of floating offshore wind turbines

Namik, Hazim; Stol, Karl

doi:10.1002/we.332

Cited by 200 publications

(113 citation statements)

References 17 publications

(24 reference statements)

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“…There are several approaches in model based control for floating wind turbines like the LQ approach in [8], an H∞ approach in [13], the variable power collective pitch approach in [14]. [15] uses an individual pitch control (IPC) and an approach in which a periodic state space controller is used to control the turbine. A model predictive approach with IPC is used in [16] where also uncertain wind measurements and lead-lag errors were considered.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear model predictive control of floating wind turbines with individual pitch control

Raach¹,

Schlipf²,

Sandner³

et al. 2014

2014 American Control Conference

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Abstract-In this work a nonlinear model predictive controller with individual pitch control for a floating offshore wind turbine is presented. An aerodynamic model of the collective pitch control approach is extended by describing pitching and yawing moments based on rotor disk theory. This extension is implemented in a reduced nonlinear model of the floating wind turbine including disturbance preview of wind speed, linear vertical and horizontal wind shear, and wave height to compute optimal input trajectories for the individual pitch control inputs and the generator torque. An extended cost functional for individual pitch control is proposed based on the collective pitch control approach. The controller is evaluated in aero-servohydro-elastic simulations of a 5 MW reference wind turbine disturbed by a three-dimensional stochastic turbulent wind field. Results show a significant blade fatigue load reduction compared to a baseline controller through minimizing yawing and pitching moments on the rotor hub while maintaining the advantages of the model predictive control approach with collective pitch control.

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Section: Introductionmentioning

confidence: 99%

Nonlinear model predictive control of floating wind turbines with individual pitch control

Raach¹,

Schlipf²,

Sandner³

et al. 2014

2014 American Control Conference

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show abstract

“…The second method regulates power more effectively, but adds complexity to the controller and increases loads on the turbine [13]. In this paper, to make the controller less complex and to reduce turbine loads, the first method is adopted.…”

Section: Control Objectives For Region IIImentioning

confidence: 99%

“…As far as control of floating offshore wind turbines above rated wind speed, called Region III, is concerned, various blade pitch control methods were worked out such as state feedback, loop shaping and model predictive control [11][12][13][14]. Additionally, in [10,15], linear time-invariant controllers were designed based on the LPV model of floating offshore wind turbines.…”

Section: Introductionmentioning

confidence: 99%

Gain-scheduling control of a floating offshore wind turbine above rated wind speed

Bagherieh

Nagamune

2015

Control Theory Technol.

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This paper presents an application of gain-scheduling (GS) control techniques to a floating offshore wind turbine on a barge platform for above rated wind speed cases. Special emphasis is placed on the dynamics variation of the wind turbine system caused by plant nonlinearity with respect to wind speed. The turbine system with the dynamics variation is represented by a linear parameter-varying (LPV) model, which is derived by interpolating linearized models at various operating wind speeds. To achieve control objectives of regulating power capture and minimizing platform motions, both linear quadratic regulator (LQR) GS and LPV GS controller design techniques are explored. The designed controllers are evaluated in simulations with the NREL 5 MW wind turbine model, and compared with the baseline proportional-integral (PI) GS controller and non-GS controllers. The simulation results demonstrate the performance superiority of LQR GS and LPV GS controllers, as well as the performance trade-off between power regulation and platform movement reduction.

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“…The task of damping tower oscillations was addressed by [6], suggesting an influence of tower acceleration on blade pitch control. A linear quadratic regulator (LQR) was applied to a floating wind turbine in [7,8], which showed improved results in power stability and tower oscillations compared to [5]. Other, similar studies have been published in [9,10], e.g., [9] also used LQR on a floating wind turbine and presented error and platform motion reduction at the same time.…”

Section: Introductionmentioning

confidence: 98%

Damping Wind and Wave Loads on a Floating Wind Turbine

2013

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Offshore wind energy capitalizes on the higher and less turbulent wind speeds at sea. To enable deployment of wind turbines in deep-water locations, structures are being explored, where wind turbines are placed on a floating platform. This combined structure presents a new control problem, due to the partly unconstrained movement of the platform and ocean wave excitation. If this additional complexity is not dealt with properly, this may lead to a significant increase in the structural loads and, potentially, instability of the controlled system. In this paper, the wave excitation is investigated, and we show the influence that both wind speed, wave frequencies and misalignment between wind and waves have on the system dynamics. A new control model is derived that extends standard turbine models to include the hydrodynamics, additional platform degrees of freedom, the platform mooring system and tower side-side motion, including gyroscopic effects. The models support a model-based design that includes estimators for wind speed and wave frequency. The design is applied to a number of examples representing different wind and wave conditions and successfully demonstrates a reduction in the structural oscillations, while improving power performance.

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Individual blade pitch control of floating offshore wind turbines

Cited by 200 publications

References 17 publications

Nonlinear model predictive control of floating wind turbines with individual pitch control

Nonlinear model predictive control of floating wind turbines with individual pitch control

Gain-scheduling control of a floating offshore wind turbine above rated wind speed

Damping Wind and Wave Loads on a Floating Wind Turbine

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