Research On ADRC For Variable Pitch Control Of Wind Turbines

Now,wind power technology is becoming more and more mature,and the variable pitch is the most widely used control technology in large wind turbines.However,due to the randomness of wind energy and the complex non-linearity of the wind turbine pitch system,the change of wind speed will cause the output power of the wind turbine to fluctuate and can't be stabilized at the rated power,How to obtain a higher wind energy capture rate and a smooth output power is one of the key research priorities of wind power technology.In this dissertation,firstly,the principle of variable pitch technology is introduced and the mathematical modeling and Matlab simulation are carried out.In view of the nonlinear and has unknown disturbance in the system,the wind turbine variable pitch active disturbance rejection controller(ADRC)is designed.Secondly,aiming at the shortcomings of ADRC that it has many parameters and these parameters are difficult to setting,the chaos particle swarm optimization(CPSO)algorithm is used to realize the self-optimization of ADRC parameters.Thirdly,in ADRC,when the external error is too large,the estimated capacity of the extended state observer(ESO)will reduce.Therefore,the perturbation partial obtained by system identification is compensated in ESO to reduce the disturbance that needs to be estimated.In addition,the fhan function is used to design the differential tracer(TD)and the nonlinear state error feedback control law(NLSEF),so as to realize the nonparametric setting of these two parts.Finally,The feasibility and validity of the design are verified by comparing the two optimized ADRCs and the traditional ADRC.The ADRC based on chaos particle swarm optimization algorithm and model compensation are simple and highly implementable.Using the optimized ADRC to control the wind turbine pitch system,the efficiency and stability of the output power of the windturbines can be improved effectively.