Real time identification of robot dynamic parameters using parallel processing. 1. Theory

Access Full Text

Real time identification of robot dynamic parameters using parallel processing. 1. Theory

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IEE Proceedings - Control Theory and Applications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The paper develops the mathematical foundations for a parallel recursive estimator for the identification of dynamic parameters for a general n-link high performance robot. The estimation is structured so that one estimator is assigned to each link. Only composite parameters used for calculating joint torques (the inverse dynamic equations) are identified. The parallel structure makes possible the real-time estimation of dynamic parameters, including load and frictions, using only medium-speed processors.

Inspec keywords: real-time systems; robot dynamics; parameter estimation; least squares approximations; parallel processing

Other keywords: joint torques; parallel processing; dynamic parameters; identification; robot; parallel recursive estimator; real-time parameter estimation; composite parameters; inverse dynamic equations

Subjects: Control system analysis and synthesis methods; Robotics; Simulation, modelling and identification; Interpolation and function approximation (numerical analysis)

http://iet.metastore.ingenta.com/content/journals/10.1049/ip-cta_19951971
Loading

Related content

content/journals/10.1049/ip-cta_19951971
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading