DYNAMIC MODEL OF AN AXIAL-FLOW COMBINE HARVESTER IN CORN WITH FIELD PERFORMANCE VALIDATION (SIMULATION, DESIGN, CONTROL, SENSOR)

MICHAEL PETER MAILANDER, Purdue University

Abstract

Material flows in a corn harvester of the axial-flow type were dynamically modeled for each machine component. Using simulation methods, the models were combined to produce an overall description of machine-crop interactions. The results of the simulation were compared to field performance data for purposes of model validation. The models were developed from the literature, theoretical considerations, and field data. An attempt was made to include all pertinent variables affecting machine performance, including crop, machine, weather, and topographical characteristics. These results can be used for purposes of machine design, harvest systems analysis, and automatic control applications.

Degree

Ph.D.

Subject Area

Agricultural engineering

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