264
Views
3
CrossRef citations to date
0
Altmetric
Electrical Engineering

Control of roll-to-roll manufacturing based on sensorless tension estimation and disturbance compensation

, , &
Pages 89-103 | Received 25 Dec 2018, Accepted 16 Nov 2020, Published online: 30 Dec 2020
 

ABSTRACT

In the roll-to-roll manufacturing process, transmission smoothness of the substrate and positioning accuracy are two factors that may affect the product quality. As a result, when developing roll-to-roll manufacturing systems, crucial issues such as tension control and transmission speed control of the substrate need to be thoroughly investigated. To conduct an in-depth study on the control problems of roll-to-roll manufacturing processes, this paper focuses on the design of tension and transmission speed controllers. Due to the fact that both the friction and external disturbance have a significant influence on system performance, this paper employs the disturbance compensation scheme for the control design to ameliorate both tension and transmission speed control problems in roll-to-roll manufacturing processes. Moreover, the H control theory is exploited to assist in the design of the disturbance compensator. In particular, for tension control, by taking into account the effect of friction and the dynamic moment of inertia, this paper proposes a modified sensorless tension estimation approach. Finally, a roll-to-roll system is used to verify the effectiveness of the proposed control scheme. Experimental results validate the effectiveness of the proposed control scheme.

Nomenclature

Acknowledgments

The authors would like to thank the Industrial Technology Research Institute (Hsinchu, Taiwan), for providing the motion control card (IMP-2).

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Science Council of Taiwan, ROC.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 199.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.