Study On Adaptive Internal Model Vibration Control Of Wind Turbine Blade Based On Trailing Edge Flap

Wind turbine is an important tool to convert wind energy into electrical energy.Reducing the quality of wind turbine blade and increasing the blade size of wind turbine has become an important means to improve power generation efficiency and expand installed capacity.However,with the increase of blade size and flexibility of wind turbine,the flutter of wind turbine blade is inevitably increased in order to ensure the light weight.Flutter of wind turbine blades will not only reduce power generation efficiency,but also seriously affect the service life of wind turbines,and even bring huge economic losses and security threats.Therefore,the research of flutter control of wind turbine blades is of great significance.The flutter of wind turbine blades is mainly divided into stall flutter and classical flutter.This paper mainly studies the blade of wind turbine.First of all,for the single degree of freedom vibration control problem of intelligent blade system,the internal model control method based on model reduction is adopted.Using clustering reduction method,Hankel reduction method and balanc reduction method to obtain the intelligent blade system internal model,the internal model from balanc reduction method can be better matched with the intelligent blade system model.The internal model controller is designed for the internal model,and the filter time constant λ and the filter order n are adjusted.When n takes 2 and λ takes 1,the stability time of twist angle is the shortest,and there is no overshoot.The simulation results show that the value of the time constant of the filter in the internal model controller plays a decisive role in the control effect of the internal model controller.Secondly,for two degree of freedom vibration control of intelligent blade system,the internal model control method is based on forgetting factor recursive least square(FFRLS),the model of internal model from FFRLS is the same as the intelligent blade system.Itcan maximize the preservation of the object,it can be designed in the mold the controller more accurate.And considering the restriction of the flap angle of the trailing edge flap actuator in the intelligent blade system,there is the problem of saturation of the output signal of the controller.With the two-port internal model controller,the stability time of torque angle and flapping displacement is shorter,and the ideal control effect can be achieved faster.The results of simulation show that the dual port internal model controller can restrain the controller output signal saturation.In practical engineering applications,wind speed is changing.In this paper,the adaptive fuzzy controller can be adjusted.According to the value of wind speed change filter time constant of the internal model controller for the λ,and intelligent system of wind turbine blade model design of the fuzzy control rules,and this play a role in online tuning mode controller parameters.With the use of double port internal model control structure,feedback servo controller can improve servo tracking ability and overcome the influence of control saturation.The simulation results show that the adaptive fuzzy double port IMC can effectively restrain the saturation of the control quantity,and has stronger adaptability and robustness.