A Soft Technique for Measuring Friction Force Using Neural Network

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 consi...

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Bibliographic Details
Published inSensors & transducers Vol. 133; no. 10; p. 1
Main Authors Huang, Sunan, Tan, Kok Kiong
Format Journal Article
LanguageEnglish
Published Toronto IFSA Publishing, S.L 01.10.2011
Subjects
Algorithms
Approximation
Behavior
Computer programs
Computer simulation
Controllers
Dynamical systems
Friction
Neural networks
Sensors
Software
Studies
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Summary: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. [PUBLICATION ABSTRACT]
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:2306-8515
1726-5479
1726-5479