Modeling and control of a hybrid two-component development process for xerography

Feng Liu, George T.C. Chiu, Eric S. Hamby, Yongsoon Eun

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Development is one of the six key steps in xerographic printing processes. Under certain printing conditions, the deveopability of the toner particles tends to degrade resulting in a loss of image quality. Existing process controls have limited authority in compensating for this degradation, and, ultimately, a service operation may be required to install fresh toner. From a customer perspective, this machine maintenance results in productivity loss and added cost, both of which need to be minimized. In this paper, a control oriented model that characterizes developability loss is derived from an experimentally validated comprehensive statistical model. The resulting model considers the stress case of printing low area coverage documents (e.g., text pages) in a low relative humidity environment, and it maps the development voltage and toner dispensing rate actuators to the developed toner mass per unit area, which is the sensed output and is also used as a surrogate for print quality. Under these operating conditions, system analysis shows that developability loss is unavoidable. Given this result, a constrained time optimal control problem is formulated to determine the dispensing strategy to maximize the printer operating time while maintaining acceptable developability. Numerical solution shows that for the stress operating condition leading to developability loss, the optimal dispensing strategy increased the operating time by 170% compared with a conventional dispensing strategy.

Original languageEnglish
Article number5471065
Pages (from-to)531-544
Number of pages14
JournalIEEE Transactions on Control Systems Technology
Volume19
Issue number3
DOIs
StatePublished - May 2011

Bibliographical note

Funding Information:
Manuscript received September 23, 2008; revised September 25, 2009; accepted January 11, 2010. Manuscript received in final form April 15, 2010. First published May 24, 2010; current version published April 15, 2011. Recommended by Associate Editor G. Stewart. This work was supported in part by the Xerox Foundation and by the National Science Foundation under Award CMS-0201837.

Keywords

  • Constrained optimal control
  • electrophotography
  • system modeling and analysis
  • xerographic development process

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