Implicit Robot Force Control Based on Set Invariance
Matteo Parigi Polverini, Davide Nicolis, Andrea Maria Zanchettin, Paolo Rocco
- Year
- 2017
- Citations
- 12
Abstract
This paper addresses the problem of robot implicit force control by means of set invariance theory. The proposed control law improves the invariance control approach by avoiding the definition of a nominal stabilizing controller, while simultaneously ensuring the absence of output overshoots with respect to the reference. The resulting set invariance based controller is first introduced for a single-input single-output system and then extended to multi-input multi-output systems, in order to be applied to the robot implicit force control problem. Its effectiveness is experimentally validated and compared to state-of-the-art approaches on a hybrid force/position task performed with a 6 DOF industrial robot equipped with a force/torque sensor.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991