Smart driver: a research project for closed loop vehicle simulation in MSC.ADAMS

R. Frezza, A. Saccon, D. Minen, C. Ortmann

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

4 Citations (Scopus)


It is almost universally accepted that predictive control and a hierarchical control architecture are at the basis of any human driver simulator. For human driving simulation, a hierarchical control structure is often subdivided in three levels: a strategic level for task planning; a tactical level for trajectory planning; an operational level for motion control. In the past 15 years, the geometric nonlinear control of mechanical systems and in particular of non-holonomic vehicles has been a very active research area. Concepts, such has differential flatness, which lead to new control paradigms have been introduced. These and other principles have all been applied in the SmartDriver Research Project, that MSC is conducting for defining a new driver model for full vehicle MSC.ADAMS models. The three basic components neeeded to perform an accurate simulation of a control-driven car on a given track are: the Vehicle Model (MSC.ADAMS), the Road Description and the Car Driver Model (SmartDriver). The paper illustrates some of the principles mentioned and shows a few application examples.
Original languageEnglish
Title of host publicationMulti-body Dynamics: Monitoring and Simulation Techniques III
EditorsHomer Rahnejat, Steve Rothberg
PublisherProfessional Engineering Publishing
Number of pages13
ISBN (Print)1860584632
Publication statusPublished - 2004
Externally publishedYes


  • automobile simulators
  • automotive industry
  • behavioral research
  • clutches
  • mathematical models
  • nonlinear systems
  • predictive control systems
  • project management
  • software prototyping


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