Robust Least Square Estimation Of The CRS A465 Robot Arm's Dynamic Model Parameters

Azeddien, Kinsheel and Zahari, Taha and Abdelhakim, Deboucha and Tuan Mohammad Yusoff, Tuan Ya (2012) Robust Least Square Estimation Of The CRS A465 Robot Arm's Dynamic Model Parameters. Journal of Mechanical Engineering Research, 4 (3). pp. 89-99. ISSN 2141-2383. (Published)

[img] PDF
Robust_least_square_estimation_of_the_CRS_A465_robot_arm's_dynamic_model_parameters.pdf
Restricted to Repository staff only

Download (753kB) | Request a copy
[img]
Preview
PDF
4.pdf

Download (60kB) | Preview

Abstract

This paper presents the experimental estimation of the barycentric parameters of the CRS A465 robot arm. Three methods are used to estimate the barycentric parameters of the arm; ordinary least square method, weighted least squares method and iteratively reweighed least squares method. The estimation is carried out on the complete robot model and the simplified model where the effect of the product of inertia is ignored. The joints friction is represented by the standard friction model. The obtained results show how the identification methods and the model simplification affect the parameters estimation and joint torque prediction in real system identification.

Item Type: Article
Uncontrolled Keywords: Identification, least squares, robot, dynamics, barycentric parameters, robust least squares.
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 04 Apr 2016 01:47
Last Modified: 22 Jan 2018 00:48
URI: http://umpir.ump.edu.my/id/eprint/6602
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item