Robust ℋ∞ Dynamic Output Feedback Control Synthesis with Pole Placement Constraints for Offshore Wind Turbine Systems

Bakka, Tore; Karimi, Hamid Reza

doi:10.1155/2012/616507

Cited by 18 publications

(12 citation statements)

References 21 publications

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“…FAST is an open source design code developed by NREL. FAST has been used in numerous previous studies() to model the structural dynamics of wind turbines. MATLAB/Simulink is used for the control design and implementation with FAST.…”

Section: Wind Turbine Modelmentioning

confidence: 99%

Wavelet-based individual blade pitch control for vibration control of wind turbine blades

Fitzgerald

Staino

Basu

2018

Struct Control Health Monit

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This paper proposes a novel individual blade pitch control strategy with the objective of reducing blade vibration. A wavelet linear quadratic regulator (LQR) control algorithm, which is an advanced modification of the conventional LQR controller, has been developed for this purpose. The formulation of the modified LQR algorithm uses the information derived from wavelet analysis of the blade response in real time to obtain the local energy distribution over frequency bands. This information, reflecting the effect of excitation on the blades, is used to design the pitch controller by updating the weighting matrices to be applied to the response energy and the control effort. The proposed control algorithm does not require a priori choice of the weights as in the classical case and calculates the gains using the weights based on the response characteristics in real time.The optimal LQR control problem is solved for each time interval with updated weighting matrices, through the Ricatti equation, leading to time-varying gain matrices. Simulations are carried out using the National Renewable Energy Laboratory's (NREL) high-fidelity FAST wind turbine simulation model. The simulations indicate that the proposed new wavelet controller achieves significant reduction in the out-of-plane response of the blades as compared with standard LQR or industry standard proportional integral (PI) controllers, at the expense of minor increases in rotational speed variability and increased pitch actuator usage.

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Section: Wind Turbine Modelmentioning

confidence: 99%

Wavelet-based individual blade pitch control for vibration control of wind turbine blades

Fitzgerald

Staino

Basu

2018

Struct Control Health Monit

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“…Similarly, the optimal Linear Quadratic Regulator (LQR) controller is widely used in Spar-type FOWT models as found in [14,15] or [16], among others, but some researches for TLP [17,18] and Barge [19,20] floating technologies are also found. Finally, the H ∞ is used for the Spar and TLP type FOWT systems, but not for Semi-sub ones, as found in [21,22] and in [23], respectively.…”

Section: Introductionmentioning

confidence: 99%

A Feedback Control Loop Optimisation Methodology for Floating Offshore Wind Turbines

et al. 2019

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Wind turbines usually present several feedback control loops to improve or counteract some specific performance or behaviour of the system. It is common to find these multiple feedback control loops in Floating Offshore Wind Turbines where the system perferformance is highly influenced by the platform dynamics. This is the case of the Aerodynamic Platform Stabiliser and Wave Rejection feedback control loops which are complementaries to the conventional generator speed PI control loop when it is working in an above rated wind speed region. The multiple feedback control loops sometimes can be tedious to manually improve the initial tuning. Therefore, this article presents a novel optimisation methodology based on the Monte Carlo method to automatically improve the manually tuned multiple feedback control loops. Damage Equivalent Loads are quantified for minimising the cost function and automatically update the control parameters. The preliminary results presented here show the potential of this novel optimisation methodology to improve the mechanical fatigue loads of the desired components whereas maintaining the overall performance of the wind turbine system. This methodology provides a good balance between the computational complexity and result effectiveness. The study is carried out with the fully coupled non-linear NREL 5-MW wind turbine model mounted on the ITI Energy’s barge and the FASTv8 code.

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“…This structure results in that the response of the subsystem for fault detection and isolation has to be fast, and, in addition to that, the peaks of the system output and control variables, immediately after the activation of a VA, are excessively high [28]. By adapting the dynamic output controller (DOC) design strategies given for LPV models in [29,30], and considering characteristic conditions and changes of variables in FTC after VA activation, the synthesis of DOCs was stated in this context in [31,32] and [33], respectively. Extending these results, the technique proposed in the paper is given by the above introduced virtual manner so that a single actuator fault in FTC structure is hidden for the DOC inputs by the dynamic VA (DVA).…”

Section: Introductionmentioning

confidence: 99%

FTC with Dynamic Virtual Actuators: Characterization via Dynamic Output Controllers andH∞Approach

Krokavec

Filasová

Serbák

2015

Mathematical Problems in Engineering

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The paper presents new conditions, adequate in design of dynamic virtual actuators and utilizable in fault-tolerant control structures (FTC) for continuous-time linear systems, which are stabilizable by dynamic output controllers. Taking into account disturbance conditions and changes of variables in FTC after virtual actuator activation and applying the nominal control scheme relating to the biproper dynamic output controller of prescribed order, the design conditions are outlined in terms of the linear matrix inequalities within the enhanced bounded real lemma forms. Using a free tuning parameter in design, and with suitable choice of the controller order, the approach provides the way to obtain acceptable dynamics of the closed-loop system after activation of the dynamic virtual actuator.

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Robust ℋ_∞ Dynamic Output Feedback Control Synthesis with Pole Placement Constraints for Offshore Wind Turbine Systems

Cited by 18 publications

References 21 publications

Wavelet-based individual blade pitch control for vibration control of wind turbine blades

Wavelet-based individual blade pitch control for vibration control of wind turbine blades

A Feedback Control Loop Optimisation Methodology for Floating Offshore Wind Turbines

FTC with Dynamic Virtual Actuators: Characterization via Dynamic Output Controllers andH∞Approach

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