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This paper presents an end-to-end framework for robust structure/controloptimization of an industrial benchmark. When dealing with space structures, areduction of the spacecraft mass is paramount to minimize the mission cost andmaximize the propellant availability. However, a lighter design comes with abigger structural flexibility and the resulting impact on control performance.Two optimization architectures (distributed and monolithic) are proposed inorder to face this issue. In particular the Linear Fractional Transformation(LFT) framework is exploited to formally set the two optimization problems byincluding parametric uncertainties. Large sets of uncertainties have to beindeed taken into account in spacecraft control design due to the impossibilityto completely validate structural models in micro-gravity conditions withon-ground experiments and to the evolution of spacecraft dynamics during themission (structure degradation and fuel consumption). In particular theTwo-Input Two-Output Port (TITOP) multi-body approach is used to build theflexible dynamics in a minimal LFT form. The two proposed optimizationalgorithms are detailed and their performance are compared on an ESA futureexploration mission, the ENVISION benchmark. With both approaches, an importantreduction of the mass is obtained by coping with the mission's controlperformance/stability requirements and a large set of uncertainties.

Robust Optimization, Structure/Control co-design, Distributed Optimization, Monolithic Optimization, Robust Control, Parametric Uncertainty