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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