Abstract
The aim of this work is to evaluate the effectiveness of a nonlinear neural modeling of two links of an electromechanical manipulator robot five degrees of freedom (5 DOF). The robot consists of five rotational joints, four links and a claw. Five DC motors are used for driving the robot. The motion transfer of the actuators is accomplished through gear trains. The measurements of angular positions of the joints are made by potentiometers. Robot models are obtained using Newton - Euler or Lagrange equations, which are coupled and nonlinear. In this paper, a nonlinear neural model is obtained, using the excitations and responses data collected from the links 1 and 2 of the robot. Finally, results are presented using the model obtained.
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