Imitate and optimize modern control algorithms for forestry cranes by means of artificial neural networks

Modern hydrostatic function drives for agricultural and forestry machines require complex control algorithms. Electric controls offer significant energy and control advantages over the state of the art, such as reduced tendency to oscillate or implementation of a variable power limitation. Therefor...

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Bibliographic Details
Main Authors: Marco Wydra, Andreas Bauer, Chris Geiger, Marcus Geimer
Format: Article
Language:deu
Published: Kuratorium für Technik und Bauwesen in der Landwirtschaft e. V. 2020-06-01
Series:Landtechnik
Subjects:
Online Access:https://www.landtechnik-online.eu/landtechnik/article/view/3241