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contributor authorZhang, Tao
contributor authorHe, Zhanpeng
contributor authorZheng, Ying
contributor authorChen, Zhihua
date accessioned2023-11-29T18:33:04Z
date available2023-11-29T18:33:04Z
date copyright8/25/2023 12:00:00 AM
date issued8/25/2023 12:00:00 AM
date issued2023-08-25
identifier issn0022-0434
identifier otherds_145_10_101004.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294216
description abstractModel-based decoupling control methods have been widely used in the register control of Roll-to-Roll (R2R) printing systems due to their advantage in dealing with couplings. While they achieve a certain decoupling effect, their registrations are influenced by the accuracy of the model and decoupling compensation. In this paper, a hybrid model is presented to calculate an appropriate compensation to eliminate the complex velocity-error relations in the R2R system, which consists of a general register error model and a data-based supplement model. Then, an adaptive decoupling control (ADC) method is proposed, in which the feedback gains are determined by solving a Riccati equation. The effectiveness of the hybrid model is validated by experiments, while the superior performance of the ADC is demonstrated by simulations. The results indicate that the hybrid model is more accurate than the general model and ADC method can rapidly reduce the register errors into a range of ±10 μm. In addition, simulated comparisons of ADC, direct decoupling proportional differential (DDPD), and improved DDPD control methods also show that the ADC owns the highest register precision and smoothest control signal.
publisherThe American Society of Mechanical Engineers (ASME)
titleAn Adaptive Decoupling Register Control Method for Roll-to-Roll Printing Systems
typeJournal Paper
journal volume145
journal issue10
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4063129
journal fristpage101004-1
journal lastpage101004-9
page9
treeJournal of Dynamic Systems, Measurement, and Control:;2023:;volume( 145 ):;issue: 010
contenttypeFulltext


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