DocumentCode :
3591374
Title :
Model independent friction compensation
Author :
Sankaranarayanan, Sivakumar ; Khorrami, Farshad
Author_Institution :
Dept. of Electr. Eng., Polytech. Univ., Brooklyn, NY, USA
Volume :
1
fYear :
1998
Firstpage :
463
Abstract :
It is shown that our earlier (1997) robust adaptive nonlinear controller for friction compensation achieves a robust performance for a general class of models capturing friction dynamics. The advocated control design methodology can be used with many existing dynamic models of friction and is robust to parametric and dynamic variations in these friction models. Furthermore, the properties of a generalized dynamic friction model are set-forth and these generic properties are exploited for control design purposes. It is also shown that many of the popular dynamic models fall within the class of models considered. The advocated controller guarantees global asymptotic tracking of the states of a one degree-of-freedom system in the presence of dynamic friction effects. Simulation studies are done for three popular dynamic friction models and a stochastic version of one of the dynamic friction models. These simulations sufficiently elucidate the robustness and performance aspects of the advocated control design methodology
Keywords :
adaptive control; compensation; control system synthesis; friction; nonlinear control systems; robust control; tracking; control design methodology; generalized dynamic friction model; generic properties; global asymptotic tracking; model independent friction compensation; one degree-of-freedom system; robust adaptive nonlinear controller; Adaptive control; Control design; Control systems; Friction; Laboratories; Nonlinear dynamical systems; Programmable control; Robot control; Robust control; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
ISSN :
0743-1619
Print_ISBN :
0-7803-4530-4
Type :
conf
DOI :
10.1109/ACC.1998.698578
Filename :
698578
Link To Document :
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