凹版印刷机加速阶段的混合建模与补偿套筒控制。

IF 6.5
Zhihua Chen, Lihui Shan, Tao Zhang
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引用次数: 0

摘要

本研究提出了一个在加速阶段的卷对卷制造的混合动力学模型,整合了一个一阶惯性框架来量化由加速度瞬态引起的未知张力波动。在此基础上,提出了一种新的基于混合补偿的自适应控制策略。该策略采用了一种混合补偿机制,以抵消由张力波动和其他单元的配准控制条件引起的配准误差。为了提高补偿机构的配准控制性能,提出了一种自适应滑模控制算法。实验证明了HCBAC方法的有效性和优越性。HCBAC方法有效地减少了加速度阶段的配准误差,精度达到±8×10-5 m。与基于模型的前馈比例导数控制、动态矩阵控制和基于解耦矩阵的学习控制相比,它分别减少了39%、55%和47%的配准误差。此外,HCBAC策略中的加速度-张力惯性框架采用一阶公式,只需识别两个参数,与现有控制方法相比,便于工业实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid modeling and compensation register control for the speed-up phase of roll-to-roll (R2R) gravure printing presses.

This study presents a hybrid dynamic model for roll-to-roll manufacturing during the acceleration phase, integrating a first-order inertia framework to quantify unknown tension fluctuations caused by acceleration transients. Based on this model, we introduce a novel hybrid compensation-based adaptive control (HCBAC) strategy. The strategy incorporates a hybrid compensation mechanism to offset registration errors arising from tension fluctuations and the registration control terms of other units. An adaptive sliding mode control algorithm is also developed to enhance the registration control performance of the compensation mechanism. Experiments demonstrate the effectiveness and superiority of the HCBAC method. The HCBAC approach effectively reduces registration errors during the acceleration phase, achieving a precision of ±8×10-5 m. It shows reductions in registration errors of 39 %, 55 %, and 47 % when compared to model-based feed-forward proportional-derivative control, dynamic matrix control, and decoupling matrix-based learning control, respectively. Additionally, the acceleration-tension inertia framework in the HCBAC strategy employs a first-order formula that requires identifying only two parameters, facilitating its industrial implementation compared to existing control methods.

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