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Automation of Front End Loaders: Self Leveling Task
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. Ålö AB. (Control systems group)
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Control Systems group)
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Control systems group)
2015 (English)In: 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2015). Luxembourg City, 08 - 11 September 2015, 2015, 1-7 p.Conference paper (Refereed)
Abstract [en]

Due to some limitations of mechanical solution for automation of front end loaders, specifically self-leveling task, we investigate here the sensor-based solution. We present a model of ront end loaders and the comparison of different controllers to realize this task. The best performance is observed from the controller comprising linear terms, compensation of input nonlinearity known as dead zone, and compensation of disturbances from its estimation.

Place, publisher, year, edition, pages
2015. 1-7 p.
National Category
Control Engineering
Research subject
Automatic Control
Identifiers
URN: urn:nbn:se:umu:diva-113696DOI: 10.1109/ETFA.2015.7301451ISI: 000378564800052ISBN: 9781467379304OAI: oai:DiVA.org:umu-113696DiVA: diva2:889198
Conference
20th IEEE International Conference on Emerging Technologies and Factory Automation, Luxembourg City, 08 - 11 September 2015
Funder
Swedish Research Council, 2012-4172
Available from: 2015-12-22 Created: 2015-12-22 Last updated: 2016-08-02Bibliographically approved

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Ong, IyungVazquez, CarlosFreidovich, Leonid
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ReferencesLink to record
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