Automation of Agricultural Grain Unloading-on-the-go

Ziping Liu, Shveta Dhamankar, John T. Evans, Cody M. Allen, Chufan Jiang, Gregory M. Shaver, Aaron Etienne, Tony J. Vyn, Corwin M. Puryk, Brandon M. McDonald

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper describes the development and experimental validation of a novel grain unloading-on-the-go automation system (automatic offloading) for agricultural combine harvesters. Unloading-on-the-go is desirable during harvest, but it requires highly-skilled and exhausting labor because the combine operator must fulfill multiple tasks simultaneously. The automatic offloading system can unburden the combine operator by automatically monitoring the grain cart fill status, determining the appropriate auger location, and controlling the relative vehicle position and auger on/off. An automation architecture is proposed and experimentally demonstrated to automate the unloading-on-the-go process. To allow for different operator-selected unloading scenarios, the automatic offloading controller has three fill strategies and two movement control options, “open-loop” and “closed-loop”. The automatic offloading controller was implemented on a dSPACE MicroAutoBox II and integrated into a combine harvester. In addition, a stereo-camera-based perception system was connected to the automatic offloading controller via an Ethernet cable for grain fill profile measurement during unloading. Infield testing demonstrated that the automatic offloading system can effectively automate the unloading-on-the-go of a combine harvester to fill a grain cart to the desired level under nominal harvesting conditions.

Original languageEnglish (US)
Pages (from-to)248-253
Number of pages6
JournalIFAC-PapersOnLine
Volume55
Issue number24
DOIs
StatePublished - 2022
Externally publishedYes
Event10th IFAC Symposium on Advances in Automotive Control, AAC 2022 - Columbus, United States
Duration: Aug 29 2022Aug 31 2022

Keywords

  • Autonomous vehicle
  • Driver assistance systems
  • Off-road vehicle automation
  • Perception
  • Vehicle control

ASJC Scopus subject areas

  • Control and Systems Engineering

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