Research On Multi-point Electric Heating Control Algorithm And System Development For Wind Turbine Blade Mould

Resin curing is the core link in the manufacturing process of wind turbine blades.The temperature control effect of the mold cavity in this process is closely related to the quality of product molding.In the context of the large-scale development of wind power blades,the resistance wire curing forming heating method has gradually replaced the traditional water circulation heating and has become the mainstream heating method due to its advantages of high heating efficiency and easy control.However,due to the many divisions of the mold heating zone,the temperature control between zones is difficult and the heating process is seriously affected by external interference,which makes it difficult to achieve the expected control effect.In order to solve this problem,this paper conducts an in-depth study on the heating process of the electric heating mold of the wind turbine blade.For single-zone temperature control,a cascade PID temperature control algorithm based on radial basis function(RBF)neural network is proposed;for multi-zone synchronous temperature control,a multi-zone temperature synchronous control based on adjacent cross-coupling is proposed Algorithm,and developed a set of wind turbine blade mold multi-point electric heating temperature control system,the specific research content of this paper is as follows:First,according to the curing process and control requirements of wind power blades,a multi-point electric heating temperature control scheme for wind power blade molds is proposed.The control system is based on the ATmega128 single-chip microcomputer.The heating area temperature control hardware circuit is developed and the protocol and data acquisition control program are written.Then,in order to enhance the anti-interference ability of the system,the wind turbine blade mold cascade PID temperature control system was designed;to solve the problem of poor tuning effect of conventional cascade PID control parameters,the neural network control theory and cascade PID control technology were combined to develop A cascade PID control algorithm for blade mold temperature based on radial basis function neural network is presented.The RBF neural network structure is used to optimize the main loop of the cascade PID control system,and the system identification is performed by outputting the Jacobian information,and then the adaptive tuning of the controller parameters is realized.The simulation results show that the cascade PID control algorithm improves the dynamic performance of the heating process of the system,and the algorithm optimized by the neural network can better track the target signal,and has strong adaptability and robustness.Secondly,in view of the problems of wind power blade molds with more regions and regional temperature coupling,the adjacent cross-coupling structure is introduced,and a multiregion temperature synchronization control algorithm for wind power blade molds is designed.Experiments show that the algorithm not only has good synchronization control.Accuracy and fast convergence speed,the maximum synchronization error is controlled at ±1℃,which fully meets the temperature uniformity requirements of wind turbine blades.Finally,build a large-scale wind turbine blade mold electric heating test platform.Based on the C# programming method,combined with SQL Server 2014 database management technology,the wind turbine blade mold electric heating upper computer monitoring interface was developed,and the on-site effectiveness test of the control algorithm proposed in this paper was carried out.The results show that the system controlled by the algorithm has a fast response speed.With the advantages of small overshoot and strong anti-interference ability,the temperature error of a single zone is controlled at ±0.5℃,which fully meets the requirements of wind turbine blade curing technology.