DocumentCode :
3636528
Title :
Trajectory tracking neural network robot control applications
Author :
R. Safaric;M. Jezernik
Author_Institution :
Fac. of Electr. Eng. & Comput. Sci., Maribor Univ., Slovenia
Volume :
2
fYear :
1996
Firstpage :
963
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 and 3 DOF mechanism models. The new neural network controllers were compared with neural network controllers based on the computed torque method. An application on a real 2 DOF SCARA robot mechanism by the neural network controller based on the computed torque method is discussed.
Keywords :
"Neural networks","Robot control","Sliding mode control","Torque control","Force control","Vectors","Robust control","Equations","Integrated circuit modeling","Mathematical model"
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 1996. ISIE ´96., Proceedings of the IEEE International Symposium on
Print_ISBN :
0-7803-3334-9
Type :
conf
DOI :
10.1109/ISIE.1996.551074
Filename :
551074
Link To Document :
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