Parameters identification for LuGre friction model based on modified chain code recognition method
Received:October 29, 2010  Revised:April 25, 2011
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DOI:10.7511/jslx20122022
KeyWord:modified chain code  parameter recognition  LuGre friction model  image match  shape characteristic identification
  
AuthorInstitution
刘柏希 湘潭大学 机械工程学院, 湘潭
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Abstract:
      Aimed at the shortcoming of traditional parameters identification methods for LuGre friction model,a new parameters identification method based on genetic algorithms and modified chain code recognition method was presented.Firstly,LuGre friction model was briefly introduced.Secondly,the optimization objective function with measured and simulated friction force in stead state was established.Thirdly,the relationships among displacement-friction force curve in presliding regime,stiffness coefficient and damping coefficient of LuGre friction model were studied.Many displacement-friction force curves with different shape were simulated using different stiffness coefficients.The shape characteristics of those simulated displacement-friction force curves were extracted using modified chain code and Fourier descriptor.The Euclidean distance based on shape characteristics was employed as the measurement of similar degree between measured displacement-friction force curves and simulated displacement-friction force curves.When the distance is less than the given error,the corresponding stiffness coefficient of simulated displacement-friction force curve is regarded as the true one.In the end,a numerical example was given to show the correctness and effectiveness of the presented method.