Automated Evaluation of Variability in Space System Design

Abstract

The design of Cyber-Physical systems such as space systems presents significant challenges due to a vast configuration space and complex interdependencies among subsystems. Each subsystem requires careful selection and precise sizing of components from diverse hardware product lines to meet specific functional and performance requirements. This complexity increases as designers must balance objectives and constraints while accounting for the cascading effects of decisions across interconnected subsystems, highlighting how a small change in one area can greatly affect the overall system function and performance. In response to these challenges, we propose a framework that integrates a novel variability-aware modelling technique with a Multidisciplinary Design Optimization approach. Implemented through tools such as ADORE from DLR and OpenMDAO from NASA, our approach enables modelling, systematic exploration and optimization of satellite architectures, aligning with mission objectives.

Keywords: Cyber-Physical Systems (CPS), Design Space Exploration (DSE), Multidisciplinary Design Optimization (MDO), Variability Modeling, Configuration, Product Line