Integrated Model-Based Systems Engineering (MBSE) Applied to the Simulation of the OSIRIS-REx Mission | LOCKHEED MARTIN SPACE
This presentation will describe an integrated, executable MBSE representation of the Origins, Spectral Interpretation, Resource Identification, Security, Regolith Explorer (OSIRIS-REx) mission. The purpose of the OSIRIS-REx mission is to study a carbonaceous asteroid, Bennu, and return a sample to Earth in 2023 for detailed analysis.
Planetary science missions are notoriously complex and are becoming increasingly ambitious as scientist and engineers strive to meet science and technology goals. Deep space missions to asteroids are particularly challenging to design due to the significant differences between terrestrial planets and asteroids.
Model Based Systems Engineering (MBSE) is a key practice in the advancement of systems engineering that can benefit planetary science missions. MBSE creates a system architecture model that facilities the integration of other discipline-specific engineering models and simulations. The system-level model is developed from the start of a program and evolves throughout development. This model serves as an interconnected, consistent source of system requirements, design, analysis, and verification.
The OSIRIS-REx model describes properties for the mission and various subsystems of the spacecraft, and is capable of executing behavior and parametric models for analyzing trajectory variables and states of the spacecraft. The model consists of a SysML model created with Cameo Systems Modeler 18.4®, a set of parameter-evaluating scripts developed in ModelCenter®, and a high fidelity simulation model created in STK® using a SPICE file. ModelCenter was also used to integrate the SysML and simulation models. The analysis tools were linked to the SysML model using MBSE Analyzer, which serves as a bridge between SysML models and ModelCenter. Behavioral models were executed for the Science Phase of the OSIRIS-REx mission to study thermal violations and data collection capabilities.
This work was carried out to demonstrate the capability, flexibility, and value of MBSE tools and methods that can be used to help meet the challenge of designing interplanetary space missions.