Dynamic Model and Inverse Kinematic Identification of a 3-DOF Manipulator Using RLSPSO

This paper presents the identification of the inverse kinematics of a cylindrical manipulator using identification techniques of Least Squares (LS), Recursive Least Square (RLS), and a dynamic parameter identification algorithm based on Particle Swarm Optimization (PSO) with search space defined by...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 20; no. 2; p. 416
Main Authors:	Batista, Josias, Souza, Darielson, dos Reis, Laurinda, Barbosa, Antônio, Araújo, Rui
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 11.01.2020 MDPI
Subjects:	Algorithms dynamic model improved rls with pso inverse kinematics Kinematics least squares Methods Neural networks Noise Optimization Parameter estimation Parameter identification Performance evaluation recursive least squares Robotics Robots improved RLS with PSO inverse kinematics recursive least squares dynamic model least Squares
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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