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An Evolution Strategy Based Autonomous Algorithm for Roll-to-Roll Web Control System

  • Thanh T. Tran
  • Ganeshthangaraj P. Muhammad Zubair
  • Kyung-Hyun Choi
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 194)

Abstract

Roll-to-roll based manufacturing technology play an important role in making printed electronics possible at high speed and low cost. In order to increase the adaptability and flexibility to detect effectively the external and internal disturbances, several algorithms for roll-to-roll web control system are proposed in recent years. However, almost all proposals are employed without taking attention in the change in time of radii of unwinder and rewinder. In this paper, a control system design is proposed firstly for non-linear roll-to-roll web control system using the uni-directional crossfeed two-channel design approach. Secondly, an evolution strategy based autonomous algorithm is developed to detect the errors and automatically recover the errors at every time interval in the presence of the varying radii. The numerical simulations validate the stability and reliability of the proposed approach.

Keywords

web tension evolution strategy feedback roll-to-roll unidirectional crossfeed 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Thanh T. Tran
    • 1
  • Ganeshthangaraj P. Muhammad Zubair
    • 1
  • Kyung-Hyun Choi
    • 1
  1. 1.Dept. of MechatronicsJeju National UniversityJejusi-jejudoKorea

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