DocumentCode :
312685
Title :
Identification of friction for control at low velocities
Author :
Du, Hongliu ; Nair, Satish S.
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Missouri Univ., Columbia, MO, USA
Volume :
4
fYear :
1997
fDate :
4-6 Jun 1997
Firstpage :
2289
Abstract :
A systematic model-free methodology to identify and compensate for friction is proposed and is shown to be viable for a class of dynamic systems. Design of the proposed identifier for friction uses Gaussian networks and incorporates explicit performance bound information. The identifier is then used in a particular compensation strategy that provides error bound information. The proposed identification design has been validated using a hardware example case system. The methodology for identifying friction is systematic and uses minimal knowledge of the dynamics which is particularly attractive for a large class of low dimensional dynamic systems with friction
Keywords :
compensation; feedforward neural nets; friction; identification; mechanical variables control; Gaussian networks; compensation strategy; dynamic systems; error bound information; explicit performance bound information; friction; low velocities; systematic model-free methodology; Adaptive control; Aerodynamics; Aerospace engineering; Control system synthesis; Friction; Hardware; Laboratories; Neural networks; Nonlinear dynamical systems; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
ISSN :
0743-1619
Print_ISBN :
0-7803-3832-4
Type :
conf
DOI :
10.1109/ACC.1997.609023
Filename :
609023
Link To Document :
بازگشت