Cure-feature based online trajectory generation in a robotic paint curing system

Fan Zeng, Beshah Ayalew, Mohammed A. Omar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Ultra-violate (UV) radiation-based robotic paint curing systems have great potential in improving energy efficiency and reducing the operating cost of the traditional oven-based units currently used in the automotive industry. This paper presents and compares two strategies for online trajectory generation in the control of such a robotic paint curing system. The system proposed here incorporates thermal vision feedback from an infra-red (IR) camera to ensure cure quality in the face of changing surface geometries and irradiance characteristics. To compare the two proposed strategies a computer simulation of the robotic curing system is developed. The results indicate that both strategies give comparable cure quality in the face of uneven target characteristics.

Original languageBritish English
Title of host publication2009 American Control Conference, ACC 2009
Pages2006-2011
Number of pages6
DOIs
StatePublished - 2009
Event2009 American Control Conference, ACC 2009 - St. Louis, MO, United States
Duration: 10 Jun 200912 Jun 2009

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Conference

Conference2009 American Control Conference, ACC 2009
Country/TerritoryUnited States
CitySt. Louis, MO
Period10/06/0912/06/09

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