Self-Tuning Control for Articulated Robots Using the Plestan’s Method

A self-tuning controller is proposed for an articulated robot using the Plestan’s method. To this end, we reconstruct the articulated robot dynamics exploiting the time-delay estimation (TDE) technique. The closed-loop error dynamics is described with sliding variables and TDE error; then, the Plest...

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Bibliographic Details
Published in:International journal of precision engineering and manufacturing 2021-04, Vol.22 (4), p.557-566
Main Authors: Jin, Maolin, Lee, Jinoh, Seo, Kap-Ho, Suh, Jin-Ho
Format: Article
Language:English
Subjects:
Controllers
Dynamic stability
Engineering
Industrial and Production Engineering
Materials Science
Regular Paper
Robot control
Robot dynamics
Robots
Self tuning
Sliding mode control
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Summary:A self-tuning controller is proposed for an articulated robot using the Plestan’s method. To this end, we reconstruct the articulated robot dynamics exploiting the time-delay estimation (TDE) technique. The closed-loop error dynamics is described with sliding variables and TDE error; then, the Plestan’s sliding mode based gain-adaptation law is incorporated with the TDE technique. The stability of the overall dynamics is proven in the sense of Lyapunov. As a result, self-tuning of the gain is realized through the sliding variable. When the TDE error increases due to the nonlinear effect such as friction, the adaptive gain is automatically adjusted to counteract the TDE error. Chattering can be avoided because the sliding mode based gain dynamics does not allow the gain increase to an excessively high value. The superiority of the proposed self-tuning controller is demonstrated by comparative experiments on a multiple joints robot setup.
ISSN:2234-7593
2005-4602
DOI:10.1007/s12541-021-00488-z