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

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

doi:10.1016/j.ifacol.2016.10.011

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

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

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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 language	English
Book series	IFAC-PapersOnLine
Volume	49-16
Pages (from-to)	55–60
ISSN	2405-8963
DOIs	https://doi.org/10.1016/j.ifacol.2016.10.011
Publication status	Published - 2016
Event	5th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture - Seattle, United States Duration: 14 Aug 2016 → 17 Aug 2016 Conference number: 5 https://www.sciencedirect.com/journal/ifac-papersonline/vol/49/issue/16

Conference

Conference	5th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture
Number	5
Country/Territory	United States
City	Seattle
Period	14/08/2016 → 17/08/2016
Internet address	https://www.sciencedirect.com/journal/ifac-papersonline/vol/49/issue/16

Keywords

Combine harvester
Plant modelling
Virtual combine

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A Framework for Semi AutomatedFinal published version, 518 KB

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title = "A Framework for Semi-Automated Generation of a Virtual Combine Harvester",

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.",

keywords = "Combine harvester, Plant modelling, Virtual combine",

author = "Dan Hermann and M.L. Bilde and Andersen, {Nils Axel} and Ole Ravn",

year = "2016",

doi = "10.1016/j.ifacol.2016.10.011",

language = "English",

volume = "49-16",

pages = "55–60",

journal = "IFAC-PapersOnLine",

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note = "5th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture, AGRICONTROL 2016 ; Conference date: 14-08-2016 Through 17-08-2016",

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AU - Bilde, M.L.

AU - Andersen, Nils Axel

AU - Ravn, Ole

N1 - Conference code: 5

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Combine harvester

KW - Plant modelling

KW - Virtual combine

U2 - 10.1016/j.ifacol.2016.10.011

DO - 10.1016/j.ifacol.2016.10.011

M3 - Conference article

SN - 2405-8963

VL - 49-16

SP - 55

EP - 60

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

T2 - 5th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture

Y2 - 14 August 2016 through 17 August 2016

ER -

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

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