Neural Network Based on Model Reference Using for Robot Arm Identification and Control

Abstract

In this work, neural network control theory is applied to identify and control the robot arm with two links conformed by two equations of second order which alternate their operation simultaneous. A neural network is trained to learn the robot arm in the dynamic behavior. The simulation results of the neural network controller based on model reference that used to identify and control the robot arm give very close results.