Research On Variable Pitch Auto Disturbance Rejection Control Of H Vertical Axis Wind Turbine

Due to the increasingly serious energy crisis,people are more and more inclined to study renewable energy.In recent years,the state has made great efforts to promote the development of wind power generation,and wind turbines have sprung up in the vast land of the northwest.The development of wind power industry is the top priority of China’s energy transformation in the future,among which vertical axis wind turbine has been paid more and more attention by scholars because of its unique performance.In the existing research on vertical axis wind turbine,in the mathematical modeling of wind turbine,the calculation of wind wheel swept area of H type vertical axis wind turbine is not accurate,which will seriously affect the calculation of its output power in simulation and practical application.This paper is carried out from the following aspects:(1)Aiming at the modeling problem of fan wind turbine,the mathematical model of wind turbine is improved based on the theoretical knowledge of aerodynamics and the structural characteristics of H-type vertical axis wind turbine.The improved wind turbine model is of great benefit to the improvement of power.The self-disturbance rejection controller is introduced into the improved H-type vertical axis wind turbine with variable pitch,and the H-type vertical axis wind turbine with variable pitch control can output power smoothly even in relatively harsh environment.Finally,the simulation results verify the superiority of the improved model and the timeliness of ADRC.(2)Aiming at the practical engineering problem of variable pitch auto disturbance rejection control of H vertical axis wind turbine,the output power of generator still has a large overshoot under step wind speed,a comprehensive control method which combines power tracking auto disturbance rejection control and fuzzy adaptive PID control of generator speed is proposed.The rotor speed of the wind turbine under the steady-state rated power is taken as the given input of the speed control loop,and the rotor speed of the generator is controlled by fuzzy PID to stabilize at the given value.Through the simulation experiment,the feasibility of variable pitch ADRC of vertical axis wind turbine based on fuzzy PID is verified,and the separate ADRC is compared.The simulation results show that the variable pitch auto disturbance rejection control of vertical axis wind turbine based on fuzzy PID has stronger anti-jamming ability and greatly reduces the fluctuation of output power.It is preliminarily verified that the comprehensive variable pitch controller used in this paper is effective in stabilizing the output power.(3)On the basis of synthesizing the variable pitch controller,in order to further optimize the controller parameters and improve the control performance,the radial basis function neural network is introduced to optimize the PID parameters.It integrates neural network and PID control technology.It not only has the advantages of simple structure and clear physical meaning of conventional PID controller,but also has the function of neural network self-learning and self-adaptation.The simulation results show that the variable pitch auto disturbance rejection control of vertical axis wind turbine based on RBF-PID is more robust than the fuzzy PID based variable pitch auto disturbance rejection control of vertical axis wind turbine,and it is more suitable for the use of wind turbine in harsh environment.(4)Although the nonlinear auto disturbance rejection controller has good antiinterference and robustness,there are many variable parameters in the controller,and it is difficult to debug,which often requires a certain amount of engineering experience or a lot of debugging time.There are great limitations in practical engineering applications.However,the PID auto-disturbance rejection pitch controller based on intelligent control has complex structure and many algorithms,so it has some limitations in practical application.Therefore,the RBF neural network is introduced into the nonlinear state error feedback control law of the ADRC,and its gain parameters are debugged on-line to further improve the system performance and control effect of the controller.The simulation results show that the anti-interference ability of RBFADRC is better than that of ADRC,and the structure of the controller is simpler than that of the integrated controller,so it proves the superiority of the auto-disturbance rejection controller based on RBF.