ROBOTRAN: a powerful symbolic gnerator of multibody models. The computational efficiency of symbolic generation was at the root of the emergence of symbolic multibody programs in the eighties. At present, it remains an attractive feature of it since the exponential increase in modern computer performances naturally provides the opportunity to investigate larger systems and more sophisticated models for which real-time computation is a real asset. Nowadays, in the context of mechatronic multibody systems, another interesting feature of the symbolic approach appears when dealing with enlarged multibody models, i.e. including electrical actuators, hydraulic devices, pneumatic suspensions, etc. and requiring specific analyses like control and optimization. Indeed, since symbolic multibody programs clearly distinguish the modeling phase from the analysis process, extracting the symbolic model, as well as some precious ingredients like analytical sensitivities, in order to export it towards any suitable environment (for control or optimization purposes) is quite straightforward. Symbolic multibody model portability is thus very attractive for the analysis of mechatronic applications. In this context, the main features and recent developments of the ROBOTRAN software developed at the Universite catholique de Louvain (Belgium) are reviewed in this paper and illustrated via three multibody applications which highlight its capabilities for dealing with very large systems and coping with multiphysics issues.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Fisette, Paul; Samin, Jean-Claude: Engineering education in multibody dynamics (2007)
- Samin, J.C.; Brüls, O.; Collard, J.F.; Sass, L.; Fisette, P.: Multiphysics modeling and optimization of mechatronic multibody systems (2007)
- Fisette, P.; Samin, J.C.: Teaching multibody dynamics from modeling to animation (2005)
- Ganovski, L.; Fisette, P.; Samin, J.C.: Piecewise overactuation of parallel mechanisms following singular trajectories: Modeling, simulation and control (2004)
Further publications can be found at: http://www.robotran.be/about-us/references