A Framework for Semi-Automated Generation of a Virtual Combine Harvester

Dan Hermann, M.L. Bilde, Nils Axel Andersen, Ole Ravn

    Research output: Contribution to journalConference articleResearchpeer-review

    152 Downloads (Pure)

    Abstract

    This paper describes a generic data-driven model of the threshing, separation and cleaning process in a combine harvester. The aim is a model that describes the actual material flow and sensor values for relevant actuator configurations and measured environmental disturbances in order to facilitate Hardware In the Loop (HIL) simulation and sensor based material flow estimation. A modular data-driven model structure is chosen as it maintains the actual steady-state values and facilitates verification and debugging using laboratory and field data. The overall model structure, model generation procedure, and estimation of parameters from field data are described, as well as simulation results are presented.
    Original languageEnglish
    Book seriesIFAC-PapersOnLine
    Volume49-16
    Pages (from-to)55–60
    ISSN2405-8963
    DOIs
    Publication statusPublished - 2016
    Event5th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture - Seattle, United States
    Duration: 14 Aug 201617 Aug 2016
    Conference number: 5
    https://www.sciencedirect.com/journal/ifac-papersonline/vol/49/issue/16

    Conference

    Conference5th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture
    Number5
    Country/TerritoryUnited States
    CitySeattle
    Period14/08/201617/08/2016
    Internet address

    Keywords

    • Combine harvester
    • Plant modelling
    • Virtual combine

    Fingerprint

    Dive into the research topics of 'A Framework for Semi-Automated Generation of a Virtual Combine Harvester'. Together they form a unique fingerprint.

    Cite this