Modeling and optimal control of human-like running

Designing and controlling an anthropomorphic mechatronic system that is able to perform a dynamic running motion is a challenging task. One difficulty is that the fundamental principles of natural human running motions are not yet fully understood. The purpose of this paper is to show that mathemati...

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Bibliographic Details
Main Authors: Schultz, Gerrit (Author) , Mombaur, Katja (Author)
Format: Article (Journal)
Language:English
Published: 2010
In: IEEE ASME transactions on mechatronics
Year: 2010, Volume: 15, Issue: 5, Pages: 783-792
ISSN:1941-014X
DOI:10.1109/TMECH.2009.2035112
Online Access:Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1109/TMECH.2009.2035112
Verlag, lizenzpflichtig, Volltext: https://ieeexplore.ieee.org/document/5345770/
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Author Notes:Gerrit Schultz, and Katja Mombaur
Description
Summary:Designing and controlling an anthropomorphic mechatronic system that is able to perform a dynamic running motion is a challenging task. One difficulty is that the fundamental principles of natural human running motions are not yet fully understood. The purpose of this paper is to show that mathematical optimization is a helpful tool to gain this insight into fast and complex motions. We present physics-based running motions for complex models of human-like running in three dimensions that have been generated by optimization. Running is modeled as a multiphase periodic motion with discontinuities, based on multibody system models of the locomotor system with actuators and spring-damper elements at each joint. The problem of generating gaits is formulated as offline optimal control problem and solved by an efficient direct multiple shooting method. We present optimization results using energy-related criteria and show that they have a close resemblance to running motions of humans. The results provide information about the internal forces and torques required to produce natural human running, as well as on the resulting kinematics.
Item Description:Online veröffentlicht am 04. Dezember 2009
Gesehen am 05.07.2023
Physical Description:Online Resource
ISSN:1941-014X
DOI:10.1109/TMECH.2009.2035112