An exponentially stable adaptive control for force and position tracking of robot manipulators
- 1 April 1999
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Automatic Control
- Vol. 44 (4), 798-802
- https://doi.org/10.1109/9.754821
Abstract
The problem of controlling a robot manipulator while the end effector is in contact with an environment of finite but unknown stiffness is considered. An exponentially stable control law is derived starting from a passivity-based position control algorithm. The original position trajectory is scaled along the interaction direction so as to achieve force tracking as well as position tracking along the unconstrained directions. A passivity-based adaptive algorithm is designed to avoid the explicit computation of the scaling factor, which depends on the unknown stiffness of the environment, leading to time-varying PID control actions on the force error.Keywords
This publication has 11 references indexed in Scilit:
- Direct adaptive impedance control including transition phasesAutomatica, 1997
- Variable structure adaptive motion and force control of robot manipulatorsAutomatica, 1994
- Force/position regulation of compliant robot manipulatorsIEEE Transactions on Automatic Control, 1994
- The parallel approach to force/position control of robotic manipulatorsIEEE Transactions on Robotics and Automation, 1993
- Adaptive motion control of robot manipulators: A unified approach based on passivityInternational Journal of Robust and Nonlinear Control, 1991
- Adaptive force control of robot manipulatorsInternational Journal of Control, 1990
- Feedback stabilization and tracking of constrained robotsIEEE Transactions on Automatic Control, 1988
- On the Adaptive Control of Robot ManipulatorsThe International Journal of Robotics Research, 1987
- Impedance Control: An Approach to Manipulation: Part I—TheoryJournal of Dynamic Systems, Measurement, and Control, 1985
- Hybrid Position/Force Control of ManipulatorsJournal of Dynamic Systems, Measurement, and Control, 1981