Abstract
A new method for position control of a 2-DOF robot arm using neuro–fuzzy controller
Highlights
Introduction low for complianceThey demonstrated the efficiency ofThe wider application of automatic control has their algorithm by applying it to a synthetic dataset, a 7 developedrapidly in recent years
First of all hierarchical PID controllers applied to the 2-DOF Robot Arm and their inputs and outputs data are obtained to set up the adaptive network based fuzzy inference system (ANFIS)
The desired position and the actual position of the neuro-fuzzy and PID controller for joints 1 and 2 are given in Figs. 7 and 8. These results show thatperformances of Neuro-Fuzzy Controller (NFC) are better than PID controllers’ performances over 2-DOF robot arm
Summary
A new method for position control of a 2-DOF robot arm using neuro–fuzzy controller. JafarTavoosi1*, Afshar Shamsi Jokandan[2] and Muhammad Amin Daneshwar3 1Department of Engineering, Ilam Branch, Islamic Azad University, Ilam, Iran 2Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran *3Department of Electrical Engineering, Mahabad Branch, Islamic Azad University, Mahabad, Iran.
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