Modeling And Control Of The Speed-up Phase In Gravure Printing Machine Electronic-shaft System

With the improvement of life quality, people's requirements for the products packaging have been greatly improved. It lead to the rapid development of printing industry and printing technology. Among the printing technologies, the electronic-shaft gravure printing technology is one of the most popular printing technology today. In the printing processes, the acceleration process is a very important part. Yet the research on acceleration process of the shaft-less gravure printing system is extremely scarce so far. In order to improve efficiency, reduce printing material waste and improve printing quality, we make a deeply research on the acceleration process in this thesis.According to the actual production situation, this thesis sets up two different mathematical models corresponding to two different acceleration processes. First of all, based on the principle of electronic-shaft gravure printing system, the mathematical model between web tension and register error during the acceleration process is set up, which was based on the principle of mass conservation and torque balance. A parameter identification method based on the membrane algorithm is applied to identify the parameters which exist in the mathematical model. However, a scarce abnormal acceleration process could not match the mathematical model which is proposed before. Echo state network is applied to set up a new non-linear model to solve such problem. Corresponding to the two different models, we propose two different control strategy: a feed-forward compensation fuzzy PD control algorithm and model predictive control algorithm. At last, two different models and two different control strategies are proven to be effective though experimental results.