Title
Neural network robust controllers applied to free-floating space manipulators in task space
Abstract
This paper deals with the problem of robust trajectory tracking control for free-floating manipulator systems subject to plant uncertainties and external disturbances. The system model is described through the Dynamically Equivalent Manipulator approach and the tracking problem is formulated directly in task space. Two adaptive techniques are developed considering nonlinear ℋ∞ controllers and artificial neural networks. Experimental results are obtained from an underactuated three-link fixed-base planar manipulator dynamically equivalent to a two-link free-floating planar space manipulator.
Year
DOI
Venue
2010
10.1109/ACC.2010.5530536
American Control Conference
Keywords
DocType
ISSN
h∞ control,aerospace robotics,manipulators,neurocontrollers,nonlinear control systems,position control,robust control,dynamically equivalent manipulator,free-floating space manipulators,neural network robust controllers,nonlinear ℋ∞ controllers,robust trajectory tracking control,task space,artificial neural networks,neural network,system modeling,artificial neural network,trajectory
Conference
0743-1619
ISBN
Citations 
PageRank 
978-1-4244-7426-4
0
0.34
References 
Authors
3
4
Name
Order
Citations
PageRank
Pazelli, T.100.34
Pazelli, F.P.A.T.200.34
Marco H. Terra311113.52
Adriano a. g. Siqueira44115.59