z-logo
open-access-imgOpen Access
Four Degree Freedom Robot Arm with Fuzzy Neural Network Control
Author(s) -
Şinasi Arslan,
Mehmet Korkmaz
Publication year - 2013
Publication title -
sakarya university journal of science
Language(s) - English
Resource type - Journals
eISSN - 2147-835X
pISSN - 1301-4048
DOI - 10.5505/saufbe.2013.72692
Subject(s) - robotic arm , artificial neural network , control theory (sociology) , computer science , degree (music) , fuzzy control system , fuzzy logic , artificial intelligence , control (management) , physics , acoustics
In this study, the control of four degree freedom robot arm has been realized with the computed torque control method.. It is usually required that the four jointed robot arm has high precision capability and good maneuverability for using in industrial applications. Besides, high speed working and external applied loads have been acting as important roles. For those purposes, the computed torque control method has been developed in a good manner that the robot arm can track the given trajectory, which has been able to enhance the feedback control together with fuzzy neural network control. The simulation results have proved that the computed torque control with the neural network has been so successful in robot control

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom