Flutter Suppression of Wind Turbine Blade Using Adaptive Control

2013 ◽  
Author(s):  
Nailu Li ◽  
Mark J. Balas
Keyword(s):  
Adaptive Control ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Adaptive Controller ◽  
Wind Turbine Blade ◽  
Aeroelastic System ◽  
Aerodynamic Loads ◽  
Flutter Suppression ◽  
Control Scheme ◽  
Trailing Edge Flap

The variation of aeroelastic system dynamics is treated as the change of time-varying aerodynamic loads over rotating wind turbine blade. An Adaptive Control scheme is introduced to suppress blade fluttering, caused by unsteady aerodynamic loads, with trailing-edge flap. The robustness and effectiveness of designed Adaptive Controller are shown by good simulation results. For stability analysis, the proposed Adaptive Stability Theorem is proved theoretically by Kalman-Yacubovic Lemma and also illustrated numerically by certain case.

Aeroelastic Suppression of Wind Turbine Blade Using Trailing-Edge Flap

2013 ◽  
Author(s):  
Nailu Li ◽  
Mark J. Balas
Keyword(s):  
Adaptive Control ◽  
Wind Turbine ◽  
Stability Theorem ◽  
Time Varying ◽  
Aeroelastic System ◽  
Aerodynamic Loads ◽  
Proposed Model ◽  
Control Scheme ◽  
Trailing Edge Flap ◽  
Adaptive Control Scheme

The variation of aeroelastic system dynamics is treated as the change of time-varying aerodynamic loads along the operation trajectory of a spinning wind turbine. An Adaptive Control scheme is introduced to suppress flutter based on the proposed model. The robustness and effectiveness of Adaptive Control is shown by simulation results. For stability analysis, Adaptive Stability Theorem is proved theoretically by Kalman-Yacubovic Lemma and demonstrated numerically by certain cases.

scholarly journals Aeroelastic Flutter and Sliding Mode Control of Wind Turbine Blade

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Lin Chang ◽  
Yingjie Yu ◽  
Tingrui Liu
Keyword(s):  
Sliding Mode Control ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Sliding Mode ◽  
Wind Turbine Blade ◽  
Sliding Mode Controller ◽  
Control Effect ◽  
Aeroelastic System ◽  
Mode Control ◽  
Aeroelastic Flutter

Flutter is an important form of wind turbine blade failure. Based on damping analysis, synthetically considering aeroelastic vibration instability of the blade and using the parameter fitting method, the aeroelastic flutter model of the pretwisted blade is built, with the simulation and emulation of flap and lead-lag directions flutter of the 2D dangerous cross section realized. Through the construction of two controllers, modular combinatorial sliding mode controller and sliding mode controller based on LMI for parameterized design suppress blade aeroelastic flutter. The results show that a better control effect can be achieved on the premise of the design of the precise parameters of the controller: the proposed sliding mode control algorithm based on LMI can effectively act on the aeroelastic system of the blade, significantly reduce the vibration frequency, and make the aeroelastic system converge to an acceptable static difference in a short time, which proves the effectiveness of sliding mode control in suppressing high-frequency vibration under high wind speed.

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

2015 ◽  
Vol 2015 ◽  
pp. 1-20 ◽  
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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