Abstract
This paper presents a methodology for the parametric identification of the analytic dynamic model of a three degree of freedom delta type parallel robot. Dynamical behavior was modeled using the Euler-Lagrange analytic approach. Analytic dynamic model parameters were estimated using a MSC-ADAMS/MATLAB Cosimulation model. The identification algorithm employed was the recursive least squares, which is validated for many trajectories. The performance index employed for the identification process was the NRMSE value. Results showed that the identification methodology employed has a fit of 80%.
Original language | English |
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Title of host publication | 2016 IEEE Colombian Conference on Robotics and Automation, CCRA 2016 - Conference Proceedings |
Editors | Henry Carrillo Lindado |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509037872 |
DOIs | |
State | Published - 9 Jan 2017 |
Event | 1st IEEE Colombian Conference on Robotics and Automation, CCRA 2016 - Bogota D.C., Colombia Duration: 29 Sep 2016 → 30 Sep 2016 |
Publication series
Name | 2016 IEEE Colombian Conference on Robotics and Automation, CCRA 2016 - Conference Proceedings |
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Conference
Conference | 1st IEEE Colombian Conference on Robotics and Automation, CCRA 2016 |
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Country/Territory | Colombia |
City | Bogota D.C. |
Period | 29/09/16 → 30/09/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- ADAMS-MATLAB co-simulation
- Recursive Least Squares
- delta robot
- parametric identification