Abstract:

When film was winding,the tension and the stability had a decisive impact on
the winding
quality.According to the dynamic process of the winding system of a casting machine,the dynamic relationships
among tension and speed,radius,rotate speed were analyzed,the principles of tension control were
proposed,and the
compensation law of the rotaty speed was calculated when the radius was increasing and the winding roller
was shifting.Based on the models,a tension control system was designed.The tension was controlled indirectly by controlling the difference of speed,and was controlled directly by using BP neural network PID controller to adjust the motor speed. Simulation results show that the controller has a good dynamic response and the anti-jamming ability.
In practice,it also proves that the control system is feasible.It has a high precision of tension control and has great significance to improve the dynamic performance of the system and the winding quality of the film.

Key words: winding system, tension control, modeling, BP neural network PID, simulation

摘要：

鉴于薄膜收换卷时的张力大小及平稳性对收卷质量具有决定性的影响,针对流涎机收卷系统的动态过程,分析了张力与收卷线速度、卷径及转速之间的动力学关系,提出了张力控制原理，并分析了薄膜在收换卷时收卷电机转速的变化补偿规律。在此基础上，设计了薄膜在收换卷时的张力控制系统，通过控制速度差对张力进行间接控制，同时采用BP神经网络PID控制器调节收卷转速对张力进行直接补偿。仿真对比结果表明,该控制器动态响应好，抗干扰能力强。实际应用实例也证明该控制方法张力控制精度高,控制高效可靠,
对改善系统的动态特性和提高薄膜的收卷质量有着重要意义。

关键词: 收卷系统, 张力控制, 建模, BP神经网络PID, 仿真