| As the forming process of casting film is continuous, the film must be rolled timely to guarantee smooth and improve the production efficiency. But the winding tension control system is complicated and affected by many factors. Its nonlinear, strongly coupled and multi-interferential characteristics makes the tension control very difficult. For the goal of high winding speed, the problems related with winding tension control system are studied, and the corresponding control system is designed in this dissertation.Firstly, the winding process for the casting film was analyzed.The tension mechanics model and dynamic model of the winding device were established according to the tension forming mechanism. The mathematical model of taper tension winding was analyzed according to the elastic mechanics theory, and the initial tension curve for the taper rolling was optimized combined with the actual case. On this basis, the dynamic compensation methods of the tension control system were put forward.Secondly, based on the research of conventional PID control and its parameter setting method, combined with the advantages of the fuzzy control and neural network theory, the advanced intelligent control algorithm-fuzzy neural network algorithm, was introduced to design tension controller and put into simulation in MATLAB.Finally, the realization of hardware and software for the winding unit tension control system was studied, the hardware structure and software function of the tension control system were designed, and the winding tension control system designed was verified by experiment. The results showed that the optimized initial taper tension curve was accurate and effective; the proposed fuzzy neural network PID control algorithm had high stability, and the tension fluctuation was small; the tension control system designed had high accuracy and stability. The research in this paper had great significance to improve the film roll quality, the winding unit dynamic performance and rolling speed. |