English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Towards Real-Time Aircraft Simulation with the MPI Motion Simulator

MPS-Authors
/persons/resource/persons84174

Robuffo Giordano,  P
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84255

Teufel,  H
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons83839

Bülthoff,  HH
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Niccolini, M., Pollini, L., Innocenti, M., Robuffo Giordano, P., Teufel, H., & Bülthoff, H. (2009). Towards Real-Time Aircraft Simulation with the MPI Motion Simulator. In AIAA Modeling and Simulation Technologies Conference 2009 (pp. 623-632). Reston, VA, USA: American Institute of Aeronautics and Astronautics.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-C38F-F
Abstract
The paper describes the recent advancements gained on the MPI motion simulator project. The aim of this project is the use of an anthropomorphic robot as actuation system
for a motion platform intended for real time flight simulation. Almost all commercially available motion platforms rely on the so called Stewart platform, that is a 6-DOF platform that can bear high payloads and can achieve high accelerations. On the other hand an anthropomorphic manipulator offers a larger range of motion and higher dexterity, that let envisage this novel motion simulator as a viable and superior alternative [1,2]. The paper addresses the use of a new inverse kinematics algorithm capable of keeping joint velocities and accelerations within their limits. Preliminary experimental results performed using the proposed algorithm along with possible further improvements are discussed.