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Self-Calibrating Mass Flow Sensor

[+] Author Affiliations
Ryan E. Reinke, Harry Dankowicz

University of Illinois at Urbana-Champaign, Urbana, IL

Paper No. DETC2012-70230, pp. 217-226; 10 pages
  • ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 6: 1st Biennial International Conference on Dynamics for Design; 14th International Conference on Advanced Vehicle Technologies
  • Chicago, Illinois, USA, August 12–15, 2012
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4505-9
  • Copyright © 2012 by ASME


This paper discusses the development of a method for on-the-fly, self-calibration of a mass-flow sensing system on a harvest combine in order to enable accurate mass-flow sensing and, consequently, yield mapping, under varying input conditions, for example due to changes in the moisture content of harvested grains or the aging of elevator paddles. The proposed method relies on a known or estimated physics-based relationship between the grain dynamics through the grain elevator and a measured force imparted on an impact plate through collisions with the grains. The paper provides a summary description of the modeled relationship between the rate of mass flow and impact-plate sensor readout and conceptualizes the self-calibration scheme through the introduction of an additional, controllable, degree of freedom of the plate. The validity of the self-calibration technique is illustrated through off-line application to bench-top and full-scale experimental test data.

Copyright © 2012 by ASME



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