Individual Pitch Control of a Large Wind Turbine Using a Fractional Order Nonlinear PI Approach with Anti-windup Strategy*

Dynamic load is a key consideration in large scale wind turbine design. It is approved that the performance of controller can distinguish impact wind turbine loads. For strong external disturbances and inaccurately modeled of large wind turbines, In this paper, we propose model-free adaptive (Model Free Adapt, MFA) individual pitch control algorithms. The controller was developed in to mitigate the rotor unbalance structural load for variable speed wind turbine. The controller is designed from a nonlinear model of the system which takes into account the blades, shaft and tower flexibilities. Bladed software was used for the control strategy and traditional PID control strategy simulation comparison. The results show that the new control strategy can effectively stabilize wind turbine power output and reduce aerodynamic loads.

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Optimal tuning of multivariable disturbance‐observer‐based control for flicker mitigation using individual pitch control of wind turbine

IET Renewable Power Generation ◽

10.1049/iet-rpg.2016.0448 ◽

2016 ◽

Vol 11 (8) ◽

pp. 1121-1128 ◽

Cited By ~ 6

Author(s):

Raja Muhammad Imran ◽

Dil Muhammad Akbar Hussain ◽

Mohsen Soltani ◽

Raja Muhammad Rafaq

Keyword(s):

Wind Turbine ◽

Disturbance Observer ◽

Pitch Control ◽

Optimal Tuning ◽

Individual Pitch Control

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Field testing of multi-variable individual pitch control on a utility-scale wind turbine

Renewable Energy ◽

10.1016/j.renene.2021.02.039 ◽

2021 ◽

Vol 170 ◽

pp. 1245-1256

Author(s):

Daniel Ossmann ◽

Peter Seiler ◽

Christopher Milliren ◽

Alan Danker

Keyword(s):

Wind Turbine ◽

Field Testing ◽

Pitch Control ◽

Utility Scale ◽

Individual Pitch Control

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Individual Pitch Control of NREL 5MW Wind Turbine Blade for Load Reduction

Transactions of the Korean Society of Mechanical Engineers A ◽

10.3795/ksme-a.2012.36.11.1427 ◽

2012 ◽

Vol 36 (11) ◽

pp. 1427-1432 ◽

Cited By ~ 3

Author(s):

Yo-Han La ◽

Yoon-Su Nam ◽

Jae-Hoon Son

Keyword(s):

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Load Reduction ◽

Pitch Control ◽

Individual Pitch Control

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The Study of Individual Pitch Control on Reducing The Load Fluctuation of Tower Shadow

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.347-353.2260 ◽

2011 ◽

Vol 347-353 ◽

pp. 2260-2267

Author(s):

Wei Li ◽

Hong Li Sun ◽

Zuo Xia Xing ◽

Lei Chen

Keyword(s):

Wind Turbine ◽

Linear Time ◽

Pitch Control ◽

Linear Time Invariant ◽

Load Fluctuation ◽

Pitch System ◽

The Individual ◽

Time Invariant ◽

Individual Pitch Control ◽

Tower Shadow

Load fluctuation of wind turbine under tower shadow was researched，introducing individual pitch control. First，establish the linear time-varying model of the rotor，make it into the linear time invariant model through Coleman transformation. Then，based on this model，achieving the design of individual pitch system with PID controller. Comparing the loads of wind turbine under tower shadow between individual pitch control and collective pitch control and analysing the fatigue damage of wind turbine through rainflow cycle counting.The result shows that load fluctuation of wind turbine using the individual pitch control under tower shadow has better effect and reduces the effect of tower shadow，extend the working life of wind turbine.

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Individual Pitch Control for Wind Turbine Load Reduction Enhanced With Inter-Turbine Wake Modelling

ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Volume 1 ◽

10.1115/dscc2011-5985 ◽

2011 ◽

Author(s):

Zhongzhou Yang ◽

Yaoyu Li ◽

John E. Seem

Keyword(s):

Wind Turbine ◽

State Space ◽

Wind Profile ◽

State Space Models ◽

Load Reduction ◽

Pitch Control ◽

Wake Interaction ◽

Wake Model ◽

Individual Pitch Control ◽

Turbine Wake

Individual pitch control (IPC) for wind turbine load reduction in Region 3 operation is improved when wake interaction is considered. The Larsen wake model is applied for composing the rotor wind profile for downstream turbines under wake interaction. The wind profile of the turbine wake was generated by modifying the NREL’s TurbSim codes. The state-space models of wind turbine were obtained via linearization of wind turbine model available in the NREL’s aeroelastic design code FAST. In particular, in order to obtain more accurate state-space models, equivalent circular wind profile was generated so as to better determine the local pitch reference. Based on such models, IPC controllers were designed following the disturbance accommodating control (DAC) and periodic control framework. The simulation results showed that the turbine loads can be further reduced using the switching control scheme based on wake modeling, as compared with the generic DAC without wake consideration.

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