
Bridging MBSE and Mission Engineering with MATLAB & Simulink
Overview
Mission engineering is evolving to become a more analytical and data-driven approach to break down and evaluate increasingly complex missions. Closing mission gaps requires stakeholders across government and industry to effectively collaborate, and Model-Based Systems Engineering (MBSE) can provide a common framework for the underlying architecture composition, simulation, analysis, and design needs. The MathWorks toolchain can provide an integration platform or complement existing solutions to bridge the gap between mission modeling and MBSE.
Through the lens of a search and rescue mission, several key areas where MBSE can complement mission engineering analyses will be highlighted. We will illustrate modeling of a satellite communications system at multiple levels of fidelity with architecture variants. We will perform a trade space analysis by assembling a dynamic simulation of platforms executing a defined mission. We will show how to import pre-existing platform models to improve confidence in simulation accuracy and analysis results. End-to-end mission modeling will be further enabled through scenario visualization in Unreal, orchestrated by executable architecture models.
Highlights
- Leveraging mission engineering and simulation for requirements development and trade space exploration
- Orchestrating mission simulations through activity diagrams
- Modeling RF systems at multiple levels of fidelity
- Scenario visualization with Unreal and Cesium
Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can’t make it for the live broadcast, register and we will send you a link to watch it on-demand.
About the Presenter
Russell Graves is an Application Engineer at MathWorks. He holds a PhD in Mechanical Engineering from The University of Tennessee. His expertise is in multi-agent machine learning, complex systems, and 3d visualizations. He has worked for 4 years prior to joining MathWorks applying these to transportation and autonomous vehicles in a research capacity
Sam Lehman is an Application Engineer at MathWorks. Sam graduated from the Georgia Institute of Technology with a BS in Physics and an MS in Electrical Engineering with a concentration in Digital Signal Processing. Prior to MathWorks, Sam worked as a software engineer developing signals intelligence and geo-location systems for the Boeing Corporation.
Steve Ajemian is a Technical Account Manager for the MathWorks supporting Aerospace and Defense customers in the United States. Prior to joining MathWorks in 2020, Steve has supported the DoD for over 18 years, most recently for the MITRE Corporation. At MITRE, he provided subject-matter expertise in wireless communications and networking to DoD customers and lead projects supporting technology acquisition of tactical datalinks for the US Navy. Steve holds a BS and MS in EE from the Johns Hopkins University and an MS in Engineering Management from MIT.
Product Focus
- Simulink
- Radar Toolbox
- Satellite Communications Toolbox
- System Composer