DocumentCode
3631785
Title
Sliding-mode neural network robot controller
Author
R. Safaric;K. Jezernik;M. Rodic;A. Sabanovic;S. Uran
Author_Institution
Fac. of Electr. Eng. & Comput. Sci., Maribor Univ., Slovenia
Volume
1
fYear
1996
Firstpage
395
Abstract
The theoretical development of a trajectory tracking neural network controller based on the theory of sliding-mode controllers is shown in the paper. Derived equations of the neural network controller were verified on a direct drive 2-DOF SCARA mechanism model. The new neural network controller was compared with a neural network controller based on the computed torque method. At last we made an application on a real 2-DOF SCARA robot mechanism by the neural network controller based on the computed torque method and a sliding-mode neural network controller on a real single axis direct drive robotic manipulator driven by an induction motor.
Keywords
"Neural networks","Robot control","Sliding mode control","Torque control","Equations","Computer networks","Vectors","Robust control","Force control","State-space methods"
Publisher
ieee
Conference_Titel
Advanced Motion Control, 1996. AMC ´96-MIE. Proceedings., 1996 4th International Workshop on
Print_ISBN
0-7803-3219-9
Type
conf
DOI
10.1109/AMC.1996.509439
Filename
509439
Link To Document