Computed Torque Adaptive Control of Rigid Robots with Improved Transient Performance
Aniruddha Datta, Ming‐Tzu Ho
- Year
- 1993
- Citations
- 4
Abstract
This paper considers a modified model reference adaptive control scheme that can be used to improve the transients associated with the manipulator trajectory tracking error. The improvement in transient behaviour is achieved by using a modified model reference controller structure. The modification to the controller structure is motivated by treating the parameter mismatch as an external disturbance, and then designing an auxiliary control input to reject the latter. The design of the auxiliary control input uses standard results from L <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</inf> optimal control theory. Using such a modified scheme, it is shown that arbitrary improvement in transient performance is possible only if the joint accelerations are avaiable for measurement. Otherwise, a condition involving a certain design parameter must be checked to determine if it is at all possible for the modified scheme to perform better than its unmodified counterpart. This condition does not involve the unkown robot parameters and can, therefore, be easily checked apriori.
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