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Professor Ross McAree   
  
Professor

 Publication

2007  McAree, P. R. and Austin, K. J. (2007). Realtime friction estimation using the Kalman Inverse Filter. In: , Twelfth World Congress in Mechanism and Machine Science : Besançon, France, June 17 - 21, 2007. Twelfth World Congress in Mechanism and Machine Science, Besançon, France, (). 17-21 June, 2007.

Friction is a phenomena present in all mechanical systems and is undesirable for estimation and control tasks because it limits atainable performance. This paper characterizes transmission friction in an electric mining shovel and describes a method for estimating transmission friction based on the application of a Kalman inverse filter.

 Mr Kevin Austin,  Professor Ross McAree
eSpace Record:  
http://espace.library.uq.edu.au/view/UQ:194029

  
Keywords:  Friction, Kalman inverse filtering
 
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