This paper presents an approach to model a ski jumper as a multi-body system for an
optimal control application. The modeling is based on the constrained Newton-Euler-Equations.
Within this paper the complete multi-body modeling methodology as well as the musculoskeletal
modeling is considered. For the musculoskeletal modeling and its incorporation in the optimization
model, we choose a nonlinear dynamic inversion control approach. This approach uses the muscle
models as nonlinear reference models and links them to the ski jumper movement by a control law.
This strategy yields a linearized input-output behavior, which makes the optimal control problem
easier to solve. The resulting model of the ski jumper can then be used for trajectory optimization
whose results are compared to literature jumps. Ultimately, this enables the jumper to get a very
detailed feedback of the flight. To achieve the maximal jump length, exact positioning of his body
with respect to the air can be displayed.
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This paper presents an approach to model a ski jumper as a multi-body system for an
optimal control application. The modeling is based on the constrained Newton-Euler-Equations.
Within this paper the complete multi-body modeling methodology as well as the musculoskeletal
modeling is considered. For the musculoskeletal modeling and its incorporation in the optimization
model, we choose a nonlinear dynamic inversion control approach. This approach uses the muscle
models as nonlinear...
»