Robust output feedback &amp;#x210C;&lt;inf&gt;&amp;#x221E;&lt;/inf&gt; control synthesis with pole placement for offshore wind turbine system: An LMI approach

Bakka, Tore; Karimi, Hamid Reza

doi:10.1109/cca.2012.6402645

Cited by 6 publications

(5 citation statements)

References 17 publications

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“…The presented approaches are mainly frequency-based controller design methods. 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.…”

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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“…H ∞ synthesis involves constructing controllers using frequency-based tools and has been applied to FOWT systems. In [37,38], H ∞ controllers were designed based on a family of linear state space models, namely the LPV models. This approach has proven effective in reducing generator speed and torque oscillations under extreme wind and wave conditions, thereby demonstrating better performance compared to controllers based on a single linear model.…”

Section: Classical Model-based Control Methodsmentioning

confidence: 99%

A Comprehensive Review on Advanced Control Methods for Floating Offshore Wind Turbine Systems above the Rated Wind Speed

Didier,

Liu,

Laghrouche

et al. 2024

Energies

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This paper presents a comprehensive review of advanced control methods specifically designed for floating offshore wind turbines (FOWTs) above the rated wind speed. Focusing on primary control objectives, including power regulation at rated values, platform pitch mitigation, and structural load reduction, this paper begins by outlining the requirements and challenges inherent in FOWT control systems. It delves into the fundamental aspects of the FOWT system control framework, thereby highlighting challenges, control objectives, and conventional methods derived from bottom-fixed wind turbines. Our review then categorizes advanced control methods above the rated wind speed into three distinct approaches: model-based control, data-driven model-based control, and data-driven model-free control. Each approach is examined in terms of its specific strengths and weaknesses in practical application. The insights provided in this review contribute to a deeper understanding of the dynamic landscape of control strategies for FOWTs, thus offering guidance for researchers and practitioners in the field.

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“…However, when the operating condition varies during the operation of wind turbines, the wind turbine dynamics will change accordingly, and therefore, it is appropriate to design a controller based on a model which represents dynamics variations explicitly. For the purpose of expressing dynamics variations, linear parametervarying (LPV) models for onshore and offshore wind turbines were developed in [9] and [10], respectively. However, these LPV models deal with only the blade rotation angle as the varying parameter, and does not incorporate other parameters which may change, such as wind speed and blade pitch angle.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, in [10,15], linear time-invariant controllers were designed based on the LPV model of floating offshore wind turbines. These controllers, however, do not address plant dynamics variation with respect to wind speed variation.…”

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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Robust output feedback ℌ<inf>∞</inf> control synthesis with pole placement for offshore wind turbine system: An LMI approach

Cited by 6 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

A Comprehensive Review on Advanced Control Methods for Floating Offshore Wind Turbine Systems above the Rated Wind Speed

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

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