With the continuous improvement of users' requirements for the quality of cold-rolled strip, the shape quality has become one of the most important indicators of high-quality cold-rolled strip. Therefore, the research on form control technology has always been the focus of cold-rolled automation. The control system enables the development and utilization of cold-rolled mill plates. Taking the flatness control accuracy as the starting point, the detected adjustment system, according to the adjustment ability of shape adjustment mechanism and the operation process of cold-rolled mill, Adjust the shape of the steel plate to the dynamic characteristics.
Now, the priority setting strategy of the plate shape adjustment mechanism is provided. Taking the influence of the functional method as an example, the calculation process is set, and the configuration model of the strip shape objective curve is established, which controls the crown, flatness control and subsequent processing requirements of the strip. It is studied according to the actual production situation to develop the geometry of the transversely wound strip steel. The shape set is different from the edge temperature of the strip steel.
On this basis, the software structure of the target shape of the curved plate is developed based on the actual situation of production, and the practical application of the structure of the target shape of the curved plate is verified. The Self-learning Model of the shape control efficiency is developed. Based on the efficiency coefficient of the shape control of the plate, a multivariable algorithm is established to control the optimal shape using the limited least square algorithm, and the shape deviation control strategy of the relay method is established, Before adjusting the shape adjustment mechanism, the variable gain compensation method is provided, the influence of detection link reduction in the control system is analyzed, and the compensation scheme of system reduction is studied.
Therefore, the predictor is introduced into the closed control system in the form of plate to compensate the reduction, and the simulation and model experiment of the shape control system are carried out. The simulation results of the shape control system are analyzed. Different closed-loop control methods are formed according to different cold rolling mill speeds. According to the on-site production conditions, the effect of applying relevant models is studied through calculation, theoretical analysis and actual rolling experiment.
