TAN Wen-bin, LI Xing-fei, XIANG Hong-biao, ZHU Jia, ZHANG Chen-yang. Parameter identification of LuGre model based on analysis of steady state error[J]. Editorial Office of Optics and Precision Engineering, 2011,19(3): 664-671
TAN Wen-bin, LI Xing-fei, XIANG Hong-biao, ZHU Jia, ZHANG Chen-yang. Parameter identification of LuGre model based on analysis of steady state error[J]. Editorial Office of Optics and Precision Engineering, 2011,19(3): 664-671 DOI: 10.3788/OPE.20111903.0664.
Parameter identification of LuGre model based on analysis of steady state error
To get accurate parameters in both static and dynamic models
an identification method of model parameters based on the analysis of steady state error was presented. Firstly
the relationship between steady state errors and input and interference signals in a servo system was determined
and the influence of torque ripples on the parameter identification was eliminated based on the study above. Then
the friction torque was deduced by using the steady state error
and the static and dynamic parameters were identified through the genetic algorithm. Finally
the friction torque was compensated according to the identified model
and the compensated effect was analyzed. The experimental results show that the steady state error of uniform motion has decreaseed from 36 m to 3 m
that of uniformly accelerated motion decreased from 34 m to 3 m
and that of sinusoidal motion decreased from 35 m to 7 m. It concludes that the dynamic and static parameters of LuGre can be precisely obtained by this identification method
and the tracking accuracy of the servo system can also be improved through friction compensation on the basis of the proposed model.
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references
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