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

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 estimatio...

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Bibliographic Details
Main Authors: Azeddien, Kinsheel, Zahari, Taha, Abdelhakim, Deboucha, Tuan Mohammad Yusoff, Tuan Ya
Format: Article
Language:English
English
Published: Academic Journals 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6602/1/Robust_least_square_estimation_of_the_CRS_A465_robot_arm%27s_dynamic_model_parameters.pdf
http://umpir.ump.edu.my/id/eprint/6602/4/4.pdf
Description
Summary: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.