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Vol. 133, Issue 10, October 2011, pp.1-7




A Soft Technique for Measuring Friction Force Using Neural Network


* Sunan HUANG, Kok Kiong TAN

Department of Electrical and Computer Engineering,

National University of Singapore, S(117573), Singapore

* Tel.: 65-65166770, fax: 65-67795219

E-mail: elehsn@nus.edu.sg


Received: 12 September 2011   /Accepted: 25 October 2011   /Published: 31 October 2011

Handbook of Laboaratory Measurements book


Abstract: There are two approaches to measure a friction force: force sensor, software estimation algorithm. This paper will focus on software approach to measure friction. The proposed approach uses a neural network (NN) to approximate the friction force in a mechanical system. Since the friction force considered is a speed-dependent function, a learning algorithm is adopted to update the NN weights so as to follow unknown friction behaviors. The advantage of the proposed friction estimation method is that it is based on the built NN model, and it does not require the force sensor measurement. Simulation test is given to verify the effectiveness of the proposed approach.


Keywords: Approximation, Estimation, Friction, Learning, Neural network, Software


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