DocumentCode :
3216520
Title :
Identification of Dynamic Model with Non-smooth Nonlinearity for Macro-moving Stage in Ultra-precision Positioning System
Author :
Yonghong Tan ; Xinhua Lei
Author_Institution :
Guilin Univ. of Electron. Technol., China
fYear :
2006
fDate :
7-11 Aug. 2006
Firstpage :
455
Lastpage :
459
Abstract :
This paper presents the architecture of a macro-moving stage of an ultra-precision positioning system. This is a dynamic system with non-smooth nonlinearity such as stickiness and Coulomb frictions. In order to model this system, a hybrid modeling approach with both first principles method and parameter-estimation technique is proposed in this paper. It is rather convenient to determine the structure of the model as well as the non-smooth nonlinear characteristic. Moreover, the parameter estimate for the linear part of the model can be specified as the non-smooth linearity is identified. The experimental results illustrate that the obtained method is promising.
Keywords :
control nonlinearities; control system synthesis; parameter estimation; position control; Coulomb frictions; dynamic model identification; first principles method; hybrid modeling; macromoving stage; nonsmooth linearity; nonsmooth nonlinearity; parameter estimation; stickiness; ultraprecision positioning system; Artificial intelligence; Electronic mail; Friction; IEEE catalog; Linearity; Nonlinear control systems; Nonlinear dynamical systems; Parameter estimation; Macro-moving stage; identification; model; non-smooth nonlinearity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
Type :
conf
DOI :
10.1109/CHICC.2006.280593
Filename :
4060556
Link To Document :
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