Multidisciplinary System Optimisation on the Design of Cost Effective Space Launch Vehicle

Abstract

This paper presents the methodology and the optimization strategy applied by Bertin Technologies for over 10 years to perform space launch vehicle design and implemented by using the property software platform HADES V15.0. The problem formulation consists in finding the best launch vehicle concept i.e. the one maximising performances (payload mass on final orbit) and minimising launch cost while satisfying technical, mission and architecture constraints. The strategy is based on a Multidisciplinary Design Feasible (MDF) approach coupled with the use of Genetic Algorithms (GA) for global optimization, and Gradient-Based Algorithms for final tuning and results refining. HADES V15.0 platform provides the associated software environment integrating a number of technical and economic modules consistently interconnected within a system optimization loop. The main disciplines taken into account in the platform are related to the launcher’s propulsion, structure, aerodynamics, trajectory optimization and cost. The use of an integrated platform for multi-objective and multi-disciplinary optimization enables an efficient process and quick optimization. This methodology is particularly well fitted to the design of a small space launch vehicle, allowing to take into account the multidisciplinary nature of such a complex system and to manage the inherent sensitivity for this kind of vehicle. The application case presented was used to design Bertin Technologies’ cost-effective expandable Space Launch Vehicle (SLV) for Microsatellites, ROXANE.