Self-Organising Maps for Illustration of Friction in a Pneumatic Cylinder
2005 (English)In: 9th Scandinavian International Conference on Fluid Power, SICFP’05, 2005, 80-81 p.Conference paper (Other academic)
Friction exists in virtually every mechanical system. A great many models for prediction and simulation of friction exist. However, due to the high non-linear nature of friction, especially stick-slip friction, there exists a trade-off between simplicity and accuracy in the predictions, also due to difficulties in building an accurate model.
Here an approach to estimation of friction based on accumulated knowledge, using previous measurements and estimations based on these measurements, is discussed. In this approach, a special kind of neural networks, is used. The type of neural network used here is a Kohonen self-organising map. Results from the trained map are used to illustrate how friction relates to states in the pneumatic cylinder. The structure in the map resulting from the different states is also discussed, interpreted and illustrated.
Place, publisher, year, edition, pages
2005. 80-81 p.
Self-organizing maps, friction, pneumatic
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-12975OAI: oai:DiVA.org:liu-12975DiVA: diva2:17571
9th Scandinavian International Conference on Fluid Power, SICFP’05, Linköping, Sweden, 1st-2nd June, 2005