Aeroservoelastic Pitch Control of Stall-Induced Flap/Lag Flutter of Wind Turbine Blade Section

Liu, Tingrui

doi:10.1155/2015/692567

Cited by 14 publications

(36 citation statements)

References 16 publications

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“…Consider the single blade section in Figure 1; the equations of motions in and directions are derived using Lagrange's equations as depicted in [2]. Meanwhile considering dynamic stiffening effect in [9], the equations of vertical ( ) and lateral ( ) motions of blade section are expressed as follows:…”

Section: Equations Of Motions Of Blade Sectionmentioning

confidence: 99%

“…The former is widely used in quick study of flap/lag vibrations or bending/twist vibrations of single cross-section with a wide range of structural and external parameters [1,2]. An aeroservoelastic model was presented to study the microtab control of the blade section undergoing moderate stall flutter and deep stall flutter separately [1].…”

Section: Introductionmentioning

confidence: 99%

“…An aeroservoelastic model was presented to study the microtab control of the blade section undergoing moderate stall flutter and deep stall flutter separately [1]. Effects of aeroservoelastic pitch control for flutter suppression on wind turbine blade section subjected to combined flap/lag motions were studied, which was dedicated to solving destructive flapwise and edgewise instability of stall-induced flutter [2]. Although this method is simple and convenient, it cannot fully reflect the vibration behavior of the whole blade body.…”

Section: Introductionmentioning

confidence: 99%

“…Some earlier studies involved the flap/lead-lag stability analysis based on eigenvalue problem [9] and stability control based on fuzzy PID algorithm and LQR controller [10], with the actual analyzed structure being single blade section. Members of our group investigated a variety of methods of intelligent control for flap/lead-lag flutter, also based on single blade section [2]. As for analysis of the whole blade body as shown in [3], the numerical difference methods adopted to solve the system integrodifferential equations of the flap vibration and leadlag vibration are so complex that it is impossible to realize the relevant control algorithms in the actual hardware.…”

Section: Introductionmentioning

confidence: 99%

“…Since the cross-sections of different sizes experience different loads, the combined effects of different loads have far surpassed those of the same loads of the typical sections of the same sizes described in related references [1,2,9,10]. Therefore, the effectiveness of design parameters of crosssections of different sizes needs to be confirmed by aeroelastic stability analysis for safety reasons.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Vibration Control of Wind Turbine Blade Based on Data Fitting and Pole Placement with Minimum‐Order Observer

Liu

Chang

2018

Shock and Vibration

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Vibration control of wind turbine blade with minimum control cost is investigated. Realization of minimum control cost is based on pole placement with minimum-order observer (PPMO). The blade analysis employs a novel compromise method between the 2D airfoil analysis method and the 3D coupled blade body analysis method based on data fitting. It not only ensures certain accuracy, but also greatly improves the speed of calculation. The Wilson method, developed on the basis of the blade momentum theory, is adopted to optimize the structural parameters of the blade, with all parameters fitted as general model Sin6 (Sum of Sine) fitting curves. Also the aerodynamic coefficients based on data obtained by Xfoil software are fitted. Pole placement technology based on minimum-order observer is applied to control unstable vibrations of vertical bending and lateral bending with minimum control cost characterized by the energy consumption of the controller. The pole placement technology is a novel pole assignment technique based on self-poles derived from constant stable eigenvalues, which can effectively avoid the mismatch problems caused by pole selection. The superiority of PPMO can be apparently demonstrated by comparison of linear quadratic regulator (LQR). Analytical proof of the control accuracy and feasibility analysis of the physical realization of the PPMO algorithm are also investigated by experimental platform of hardware-in-the-loop simulation.

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Section: Equations Of Motions Of Blade Sectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Vibration Control of Wind Turbine Blade Based on Data Fitting and Pole Placement with Minimum‐Order Observer

Liu

Chang

2018

Shock and Vibration

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Active flow control of a wing section in stall flutter by dielectric barrier discharge plasma actuators

2022

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This paper investigates the potential of using an active flow control technique to modify stall flutter oscillations of a NACA (National Advisory Committee for Aeronautics) 0015 wing section. Wind tunnel experiments have been performed with a test-rig that provides the elastic degree of freedom in pitch. Measurements of the clean airfoil are taken at preset angles of θ0=6{degree sign}-12{degree sign}, and for Reynolds numbers of Rec=6.2×104-1.25×105, which reveal the dependency of the stall flutter oscillations to Rec and θ0. Then, flow control experiments are carried out at θ0=10{degree sign}, and Rec=1.04×105. Two dielectric barrier discharge (DBD) plasma actuators have been employed simultaneously to exert dual-point excitation to the baseline flow. It is shown that during the upstroke half-cycle, plasma actuation postpones the dynamic stall of the airfoil and increases the maximum pitch angle of the stall flutter cycle. On the downstroke, dual-point excitation effectively improves the rate of pitching moment recovery and leads to flow reattachment at a larger pitch angle. Normalized excitation frequencies Fex=fex/fw (where fw is the wake mode frequency of the stalled airfoil) ranging from 0.1 up to 3 have been examined. Among the controlled cases, excitation with Fex=0.6 and Fex=2.2 provides the largest and smallest pitch amplitude, respectively, and the case of Fex=3 demonstrates the most impact on flow reattachment. Finally, it has been concluded that the employed control strategy is effectively capable of modifying the dynamic stall process and associated pitching moment. However, a more sophisticated control strategy would be required to significantly mitigate the stall flutter oscillations.

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Classical Flutter and Active Control of Wind Turbine Blade Based on Piezoelectric Actuation

Liu

2015

Shock and Vibration

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The aim of this article is to analyze classical flutter and active control of single-cell thin-walled composite wind turbine blade beam based on piezoelectric actuation. Effects of piezoelectric actuation for classical flutter suppression on wind turbine blade beam subjected to combined transverse shear deformation, warping restraint effect, and secondary warping are investigated. The extended Hamilton’s principle is used to set up the equations of motion, and the Galerkin method is applied to reduce the aeroelastic coupled equations into a state-space form. Active control is developed to enhance the vibrational behavior and dynamic response to classical aerodynamic excitation and stabilize structures that might be damaged in the absence of control. Active optimal control scheme based on linear quadratic Gaussian (LQG) controller is implemented. The research provides a way for rare study of classical flutter suppression and active control of wind turbine blade based on piezoelectric actuation.

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Aeroservoelastic Pitch Control of Stall-Induced Flap/Lag Flutter of Wind Turbine Blade Section

Cited by 14 publications

References 16 publications

Vibration Control of Wind Turbine Blade Based on Data Fitting and Pole Placement with Minimum‐Order Observer

Vibration Control of Wind Turbine Blade Based on Data Fitting and Pole Placement with Minimum‐Order Observer

Active flow control of a wing section in stall flutter by dielectric barrier discharge plasma actuators

Classical Flutter and Active Control of Wind Turbine Blade Based on Piezoelectric Actuation

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