Multi-objective Optimal Control Study Of Cold Rolling Silicon Steel Edge Drop Based On Cloud Model

Silicon steel is widely used in all kinds of motors,generators and transformers.The edge drop is one of the important quality indexes of cold rolling silicon steel,which directly affects the edge cutting amount and yield of silicon steel.Based on a 1500 mm five-stand UCMW cold rolling silicon steel unit in a silicon steel factory,this paper studies and analyzes the generation mechanism and control technology of edge drop by combining the on-site process and real-time rolling data.The main research contents are as follows:Firstly,the control system of edge drop of cold rolling silicon steel was analyzed,and the mathematical model of feedforward and feedback control of edge drop was studied.At the same time,the feedforward and feedback global optimization control strategy of edge drop was established.By distributing the optimization model,the optimal adjustment quantity for the feedforward control and feedback control of edge drop was obtained.Secondly,in order to improve the edge drop control level of silicon steel,a multi-frame coordinated control strategy and model based on multi-objective optimization is proposed.Through finite element simulation,the influence law of the work roll shifting movement of each control frame on the side edge drop was analyzed,and the fitting model of the work roll shifting movement regulation efficiency coefficient was proposed.On this basis,the set value model of the silicon steel edge drop after rolling was established,and the optimal roll shifting adjustment model of each stand was established.The multi-objective optimization control model of edge drop was established,and the improved Lagrange algorithm was used to calculate the optimal adjustment amount of each stand edge drop adjusting mechanism.The experimental and application results show that the proposed multi-objective control strategy and model for edge drop can effectively improve the control quality of silicon steel.Finally,aiming at the uncertainties and nonlinearities in the multi-objective optimization control of edge drop,the cloud model control theory was introduced,and the cloud model controller of edge drop multi-objective optimization control was designed based on the three-dimensional cloud model,and the simulation of fuzzy PID and cloud model PID control was carried out by using MATLAB platform.The simulation results show that the cloud model control system has stronger regulation ability and antiinterference,more stable control system,higher control precision,and can meet the high precision edge drop control.