Study On Individual Pitch Control Of Floating Wind Turbine Based On Neural Network Adaptive Method And Monitoring System Design

With the growth of energy demand and climate change,the world’s demand for renewable energy is increasing.As an environmentally friendly and pollution-free power generation method,wind power generation has a huge development space.The average wind speed of deep-sea wind farms is higher than the average wind speeds of offshore and onshore wind farms,with less turbulence and smaller wind shear changes,which has attracted more and more attention from countries.With the development of wind power technology,floating wind power provides a feasible solution for wind turbines to further enter the deep sea area,which is supported and recognized by more and more countries.However,due to the extreme climate in the far-reaching sea,the unknown parameters of the floating wind turbines system,and the coupling effect between the wind wave and the floating wind turbines as a whole,intelligent and effective control strategies are required to reduce the fluctuation of power generation and the load of the floating wind turbines,so the independent pitch strategy emerges.The independent pitch technology can adjust the pitch angle of the blade independently,so that the blade can adjust its pitch angle through the pitch actuator in different time and space positions to adapt to the external changes,so as to effectively reduce the load caused by tower shadow effect and wind shear effect,and also reduce the generation power fluctuation.In addition,considering that the floating wind turbines is located in the far-reaching sea area and its working environment is complex and bad,the maintenance personnel often need to take a boat to reach the designated maintenance site,which greatly increases the difficulty of maintenance.The design of a monitoring system has a practical reference role.In this paper,spar type floating wind turbines is taken as the research object,and the control problem of its independent variable pitch is studied.The main research work of this paper includes:(1)Study the hydrodynamic and aerodynamics of the floating wind turbines and the dynamic equations of the important structures,and further understand the operation process and working principle of the wind turbines.(2)In view of the independent pitch system of spar type floating wind turbines,considering the joint action of propulsion moment,friction moment and other moments on the blade,combined with the influence of unbalanced load on the blade,a more accurate and complex nonlinear mathematical model of independent pitch is established.(3)The RBF neural network adaptive tracking control method is designed to control the independent pitch of the spar type floating wind turbines model reliably,so that the error can converge in a limited time set artificially,and maintain the stability of the output power.Finally,FAST-Matlab is used to build a special simulation platform,and the simulation results show the reliability of the control method.(4)Based on the edge computing platform composed of floating wind turbines and edge intelligent equipment,a set of floating wind turbines monitoring system is designed to monitor and operate the operation of floating wind turbines.