Bestle, DieterEberhard, Peter2014-01-132016-03-312014-01-132016-03-31199239964928Xhttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-88829http://elib.uni-stuttgart.de/handle/11682/4572http://dx.doi.org/10.18419/opus-4555Optimization of holonomic as well as non-holonomic multibody systems is presented as a nonlinear programming problem that can be solved with general-purpose optimization codes. The adjoint variable approach is used for calculating design derivatives of a rather general integral type performance measure with respect to design parameters. The resulting equations are solved by numerical integration backward in time. A multi-step integration algorithm with order and step-size control is adapted for this application by including an interpolation scheme. Numerical experiments and a comparison to the common approach of approximating the gradient of the performance measure by finite differences show that high efficiency, accuracy, and reliability are achievable.eninfo:eu-repo/semantics/openAccessMehrkörpersystem , Modellierung620Analyzing and optimizing multibody systemsarticle