Analysis And Research Of The Welding Carriage Position Tracking Error In Endless Rollingsimulation Platform

Endless rolling technology has the advantage of stabilizing rolling parameters,improving production efficiency and reducing production cost.In the process of endless rolling,the welder movement speed and billets rolling speed must be str ictly synchronized,so that the mechanical coupling between the welding and the rolling is reduced to the minimum.Hence,the welder must have a better position tracking performance.This thesis is based on simulation platform of the endless rolling multi-drive transmission system,which was developed by ourselves.It makes full use of the accurate positioning features of the synchronous motor,which is also the driving motor of the welder.And it makes a deep research on the endless rolling multi-drive transmission system.In order to meet location tracking feature of the system,this thesis analyzes the application of the PID control,Fuzzy control,LQR control algorithms in welding location servo system.Comparing the final control effect with the method of Matlab simulation and platform verification,the welder control system which is added Fuzzy-LQ R-PID optimization algorithm has the highest precision location tracking.To meet anti-interference,this thesis carries out ADRC control algorithm simulation.The main contents are as follows:(1)Through the analysis of endless rolling simulation platform system structure and function to establish welding position servo system modeling.(2)Designing the control algorithm of welder welding process.O n the bas is of the conventional PID control algorithm and on the target of optimized position curve.This thesis uses three intelligent control algorithms: Fuzzy control algorithm,LQR control algorithm and ADRC algorithm to improve welding position tracking performance and robustness.(3)Three intelligent control algorithms proposed in this thesis are verified by simulation.By comparing and analyzing the position curve of the welder to verify the effectiveness of the algorithm.(4)Practicing and testing the intelligent algorithm on the simulation platform to further verify the effectiveness of the proposed intelligent algorithm.