A Hill Muscle Actuated Arm Model with Dynamic Muscle Paths

Conference paper
Part of the Computational Methods in Applied Sciences book series (COMPUTMETHODS, volume 53)


This contribution presents the optimal control of a musculoskeletal multibody model with Hill muscle actuation and dynamic muscle paths. In particular, the motion of a human arm and its muscle paths is described via constrained variational dynamics. The optimal control problem in this work is based on the direct transcription method DMOCC [4], where the optimal control problem is discretised in time, and the resulting nonlinear constrained finite dimensional optimisation problem is solved. To take a step towards finding global or multiple minima, we utilize the Matlab multistart framework for global optimisation. With the help of an example, we outline a framework to find feasible solutions and analyse several minima to which the nonlinear programming solver converges.



This work is funded by the Federal Ministry of Education and Research (BMBF) as part of the project 05M16WEB - DYMARA.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Chair of Applied DynamicsUniversity of Erlangen-NurembergErlangenGermany

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