Study on Compensation Control Method of Blade Root Deformation
The installation error of embedded bolt hole is large and the deformation compensation is difficult because of the solidification deformation of wind turbine blade after closing the mould.Therefore,the error compensation control system is studied based on the structure scheme of the anti-shrinking mould error compensation tool of the ball screw type.The unknown disturbance in the compensation process of the ball screw system and the chattering phenomenon of sliding mode control are considered in the control system.Firstly,the lumped parameter mathematical model of the ball screw error compensation system is established.Secondly,a sliding mode position control method based on neural network disturbance observer is proposed.Finally,in order to realize the adaptive adjustment of the sliding mode control parameters,RBF-SMC algorithm is designed,and the information of sliding mode control system is identified on-line by RBF Network.The experimental results show that the proposed sliding mode position control method based on neural network disturbance observer can weaken the chattering phenomenon of sliding mode control and reduce the steady-state error,it provides a new idea for digitizing the production process of leaf root anti-shrinking mould tooling.