Articles | Volume 14, issue 2
https://doi.org/10.5194/ms-14-293-2023
https://doi.org/10.5194/ms-14-293-2023
Research article
 | 
25 Jul 2023
Research article |  | 25 Jul 2023

Robust trajectory tracking control for collaborative robots based on learning feedback gain self-adjustment

Xiaoxiao Liu and Mengyuan Chen

Viewed

Total article views: 694 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
537 133 24 694 16 14
  • HTML: 537
  • PDF: 133
  • XML: 24
  • Total: 694
  • BibTeX: 16
  • EndNote: 14
Views and downloads (calculated since 25 Jul 2023)
Cumulative views and downloads (calculated since 25 Jul 2023)

Viewed (geographical distribution)

Total article views: 644 (including HTML, PDF, and XML) Thereof 644 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 02 Jul 2024
Download
Short summary
Considering its practical engineering applications, a proportional-derivative-based robust controller is designed and applied to a nonlinear robotic system with uncertainty. With error- and model-based features, accurate position tracking can be achieved. The control feedback gain is automatically and iteratively adjusted by learning so that the desired performance of the system is optimized.