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

  • Authors:

  • Fan Zeng;Beshah Ayalew;Mohammed A. Omar

  • Affiliations:

  • Clemson University-International Center for Automotive Research, Greenville, SC;Clemson University-International Center for Automotive Research, Greenville, SC;Clemson University-International Center for Automotive Research, Greenville, SC

  • Venue:
  • ACC'09 Proceedings of the 2009 conference on American Control Conference
  • Year:
  • 2009

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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.