Modeling complex hypervelocity flight systems-of-systems at the component scale

Abstract

ABSTRACT TITLE: Modeling complex hypervelocity flight systems-of-systems at the component scale The objective of the proposed research is to develop and/or enhance foundational theories, methods, and techniques for advanced modeling and simulation of complex hypervelocity flight systems-of-systems at the component scale. The effort will focus on Guidance, Navigation, and Control (GNC) sub-systems, but with relations to other vehicle sub-systems included. The large diversity of interacting, multidisciplinary components, including embedded computers, sensors, actuators, batteries, fuel tanks, engines, and flight controllers, requires a formalism that is able to capture the complex dynamics of the interactions. Further, the significant Size, Weight, and Power (SWaP) constraints of these systems requires an ability to perform vehicle-level technological trades that optimize speed and effectiveness for integration of novel sub-component technologies. The assessment of risk at the overall vehicle capability level due to component performance degradation (or failure) will also be addressed. The technical approach will center on enhancing the Systems Operational Dependency Analysis (SODA) by leveraging and introducing the formalism of interconnected hybrid systems into the modeling and analysis of complex hypersonic vehicles, and thereby understand the implications of the interdependencies for the functioning and behavior of the overall system. A series of simulations experiments based on well-defined hypotheses will be conducted once the appropriate models are created in order to produce evidence on whether these approaches are in fact promising for the goal of optimal technology infusion for hypervelocity systems

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 13, 2025
Source ID
N001742010011

Entities

People

  • Daniel Delaurentis

Organizations

  • Purdue University
  • United States Navy

Tags

Readers

  • Computational Fluid Dynamics (CFD)
  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design

Technology Areas

  • Hypersonics