Work

Sequential Adaptive Fuzzy Inference System Based Intelligent Control of Robot Manipulators

Year: 2014

Type: article

Abstract: The present paper is dedicated to the presentation and implementation of an optimized technique allowing an online estimation of a robot manipulator parameters to use them in a computed torque control.Indeed the proposed control law needs the exact robot model to give good performances.The complexity of the robot manipulator and its strong non-linearity makes it hard to know its parameters.Therefore, we propose in this paper to use neuro-fuzzy networks Sequential Adaptive Fuzzy Inference System (SAFIS) to estimate the parameters of the controlled robot manipulator.

Source: International Journal of Intelligent Systems and Applications

DOI: 10.5815/ijisa.2014.11.07

Authors: Sahraoui Mustapha, Khelfi Mohamed Fayçal, Salem Mohammed

Institution: Université Oran 1 Ahmed Ben Bella

Language: English

Topic: Fuzzy Logic and Control Systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W2098692952

FWCI:

Cites: 11

Cited by: 4

Related to: 10