Adaptive PD control of flexible joint robots without using the high-order regressor
Jing Yuan, Y. Stepanenko
- Year
- 2002
- Citations
- 5
Abstract
This paper address adaptive control of flexible joint robots with possible uncertainties in both the manipulator and actuator dynamics. Most of the previous works require the computation of a second-order regressor plus acceleration or even jerk feedbacks when the joint stiffness is weak (or elasticity is strong). The adaptive controller proposed here does not need the second-order regressor while still possessing proven asymptotical stability. It also avoids the acceleration feedback by means of an observer, which is independent of robot parameters. The coupling effect between the tracking errors and the observation error is explicitly studied in the closed-loop stability analysis. As the result, the proposed adaptive controller has almost the same complexity as the adaptive controllers for rigid-body robots.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002