Simulation of electrically-driven robot manipulators
Eric Guiffo Kaigom, Jurgen Rosmann
- Year
- 2012
- Citations
- 2
Abstract
A systematical, highly modular approach exploiting the electromechanical analogy and the modified nodal analysis is proposed to assemble and simulate a robot drive train. A polymorphism-based architecture is introduced to handle both electrical and mechanical constituting components. Torques needed to drive a simulated 6-DoF robot manipulator to a given joints configuration are commanded and provided in a two stage position and torque control scheme. Simulation results illustrate the effectiveness and usability of the approach, thus highlighting its potential contributions to the recently introduced eRobotics concept.
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