On-the-go throughput prediction in a combine harvester using sensor fusion

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

doi:10.1109/CCTA.2017.8062442

On-the-go throughput prediction in a combine harvester using sensor fusion

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

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

The paper addresses design of a clean grain throughput observer for a combine harvester, i.e. delay free yield sensing. The aim is to predict grain throughput changes using the forward speed and a throughput sensor in the feederhouse. By utilising a grain flow model and sensor fusion an estimate of the current grain throughput is obtained, hence the effect from the lag in the momentary yield sensor reading due to material transport delays can be reduced. Statistical change detection is used to detect feederhouse load condition as well as sensor discrepancies using the observer innovation signal. The system is able to predict changes originating from forward speed and local crop density variations. Also temporary sensor discrepancies are detected and compensated in the grain flow estimate.

Original language	English
Title of host publication	Proceedings of the 2017 IEEE Conference on Control Technology and Applications
Publisher	IEEE
Publication date	2017
Pages	67-72
ISBN (Print)	9781509021826
DOIs	https://doi.org/10.1109/CCTA.2017.8062442
Publication status	Published - 2017
Event	2017 IEEE Conference on Control Technology and Applications - he Mauna Lani Bay Hotel and Bungalows Kohala Coast, Kohala Coast, United States Duration: 27 Aug 2017 → 30 Aug 2017

Conference

Conference	2017 IEEE Conference on Control Technology and Applications
Location	he Mauna Lani Bay Hotel and Bungalows Kohala Coast
Country	United States
City	Kohala Coast
Period	27/08/2017 → 30/08/2017

Series	2017 Ieee Conference on Control Technology and Applications (ccta)

Access to Document

10.1109/CCTA.2017.8062442

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Cite this

@inproceedings{833e9d1488bd457ba5f242d2a63f4617,

title = "On-the-go throughput prediction in a combine harvester using sensor fusion",

abstract = "The paper addresses design of a clean grain throughput observer for a combine harvester, i.e. delay free yield sensing. The aim is to predict grain throughput changes using the forward speed and a throughput sensor in the feederhouse. By utilising a grain flow model and sensor fusion an estimate of the current grain throughput is obtained, hence the effect from the lag in the momentary yield sensor reading due to material transport delays can be reduced. Statistical change detection is used to detect feederhouse load condition as well as sensor discrepancies using the observer innovation signal. The system is able to predict changes originating from forward speed and local crop density variations. Also temporary sensor discrepancies are detected and compensated in the grain flow estimate.",

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

year = "2017",

doi = "10.1109/CCTA.2017.8062442",

language = "English",

isbn = "9781509021826",

series = "2017 Ieee Conference on Control Technology and Applications (ccta)",

pages = "67--72",

booktitle = "Proceedings of the 2017 IEEE Conference on Control Technology and Applications",

publisher = "IEEE",

address = "United States",

note = "2017 IEEE Conference on Control Technology and Applications, CCTA 2017 ; Conference date: 27-08-2017 Through 30-08-2017",

}

Hermann, D, Bilde, ML, Andersen, NA & Ravn, O 2017, On-the-go throughput prediction in a combine harvester using sensor fusion. in Proceedings of the 2017 IEEE Conference on Control Technology and Applications . IEEE, 2017 Ieee Conference on Control Technology and Applications (ccta), pp. 67-72, 2017 IEEE Conference on Control Technology and Applications, Kohala Coast, United States, 27/08/2017. https://doi.org/10.1109/CCTA.2017.8062442

On-the-go throughput prediction in a combine harvester using sensor fusion. / Hermann, Dan; Bilde, Morten L.; Andersen, Nils Axel ; Ravn, Ole.

Proceedings of the 2017 IEEE Conference on Control Technology and Applications . IEEE, 2017. p. 67-72 (2017 Ieee Conference on Control Technology and Applications (ccta)).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AB - The paper addresses design of a clean grain throughput observer for a combine harvester, i.e. delay free yield sensing. The aim is to predict grain throughput changes using the forward speed and a throughput sensor in the feederhouse. By utilising a grain flow model and sensor fusion an estimate of the current grain throughput is obtained, hence the effect from the lag in the momentary yield sensor reading due to material transport delays can be reduced. Statistical change detection is used to detect feederhouse load condition as well as sensor discrepancies using the observer innovation signal. The system is able to predict changes originating from forward speed and local crop density variations. Also temporary sensor discrepancies are detected and compensated in the grain flow estimate.

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