卷对卷制程加速阶段的增量模型预测控制

Incremental Model Predictive Control during the Speed-up Phase in Roll-to-Roll Process

  • 摘要: 在卷对卷制程(R2R)印刷生产从低速到高速的加速过程中,存在因印刷网布的张力波动而引起套印误差的问题。为提高印刷精度,减少在加速过程中产生的废料,本文通过分析稳速阶段数学模型及加速阶段系统特性,将加速引起的套印误差视为系统外部扰动,建立了加速阶段数学模型,再结合实时测量值当中蕴含的扰动量变化信息,提出了一种增量模型预测控制(MPC)方法。实验分析表明,相较于已有的完全解耦比例-微分(FDPD)控制方法和基于扰动观测器的比例-微分(DOCPD)控制方法,MPC具有控制效果和性能上的优势。

     

    Abstract: During the acceleration process from low speed to high speed in roll-to-roll (R2R) printing production, there exists a problem of register errors caused by tension flucuations of the printing web. To improve printing accuracy and reduce waste generated during the acceleration process, we establish a mathematical model for the acceleration phase by analyzing the mathematical model of the steady-speed phase and the system characteristics of the acceleration phase, and regarding the register errors induced by acceleration as external disturbances to the system. Then, combined with the information on disturbance variations contained in real-time measured values, an incremental model predictive control (MPC) method is proposed. Experimental results demonstrate that compared to existing methods such as fully decoupled proportional-derivative (FDPD) control and disturbance observer-based compensation proportional-derivative (DOCPD) control, the MPC approach exhibits advantages in control effectiveness and performance.

     

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