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

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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Wind turbine individual pitch control for load reduction based on fuzzy controller design

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1177/0959651812466526 ◽

2013 ◽

Vol 227 (3) ◽

pp. 320-328 ◽

Cited By ~ 3

Author(s):

Tinglong Pan ◽

Zhongxin Ma

Keyword(s):

Wind Turbine ◽

Fuzzy Controller ◽

Controller Design ◽

Load Reduction ◽

Pitch Control ◽

Individual Pitch Control

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

Shock and Vibration ◽

10.1155/2015/692567 ◽

2015 ◽

Vol 2015 ◽

pp. 1-20 ◽

Cited By ~ 8

Author(s):

Tingrui Liu

Keyword(s):

Neural Network ◽

Wind Turbine ◽

Turbine Blade ◽

Learning Algorithm ◽

Wind Turbine Blade ◽

Pid Controllers ◽

Flutter Suppression ◽

Pitch Control ◽

Blade Section ◽

Neural Network Pid

The aim of this paper is to analyze aeroelastic stability, especially flutter suppression for aeroelastic instability. Effects of aeroservoelastic pitch control for flutter suppression on wind turbine blade section subjected to combined flap and lag motions are rarely studied. The work is dedicated to solving destructive flapwise and edgewise instability of stall-induced flutter of wind turbine blade by aeroservoelastic pitch control. The aeroelastic governing equations combine a flap/lag structural model and an unsteady nonlinear aerodynamic model. The nonlinear resulting equations are linearized by small perturbation about the equilibrium point. The instability characteristics of stall-induced flap/lag flutter are investigated. Pitch actuator is described by a second-order model. The aeroservoelastic control is analyzed by three types of optimal PID controllers, two types of fuzzy PID controllers, and neural network PID controllers. The fuzzy controllers are developed based on Sugeno model and intuition method with good results achieved. A single neuron PID control strategy with improved Hebb learning algorithm and a radial basic function neural network PID algorithm are applied and performed well in the range of extreme wind speeds.

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