Iterative learning velocity and tension control for single span axially moving materials

Research output: Contribution to journalArticlepeer-review

43 Scopus citations


Precise tension and speed control of axially moving material systems enables high speed processing of paper, plastics, fibers, and films. A single span model is developed that includes distributed longitudinal vibration, a torque-controlled roller at the left boundary, and a speed-controlled roller at the right boundary. The speed trajectory of the right roller is assumed periodic but unknown. A proportional and derivative (PD) feedback and iterative learning control (ILC) feedforward control law is developed for the left roller torque based on the measured tension and speed at the left boundary. PD tension/speed control is proven to ensure boundedness of distributed displacement and tension. ILC is proven to provide the same theoretical result but greatly improved simulated response to an aggressive stop/start right roller speed trajectory.

Original languageEnglish (US)
Pages (from-to)510031-510036
Number of pages6
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Issue number5
StatePublished - Sep 2008

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Information Systems
  • Instrumentation
  • Mechanical Engineering
  • Computer Science Applications


Dive into the research topics of 'Iterative learning velocity and tension control for single span axially moving materials'. Together they form a unique fingerprint.

Cite this