Multi-level Systems Modeling and Optimization

This research combines the disciplines of system-of-systems (SoS) modeling, platform-based design, optimization and evolving design spaces to achieve a novel capability for designing solutions to key aeronautical mission challenges. A central innovation in this approach is the confluence of multi-level modeling (from sub-systems to the aircraft system to aeronautical system-of-systems) in a way that coordinates the appropriate problem formulations at each level and enables parametric search in design libraries for solutions that satisfy level-specific objectives. The work here addresses the topic of SoS optimization and discusses problem formulation, solution strategy, the need for new algorithms that address special features of this problem type, and also demonstrates these concepts using two example application problems - a surveillance UAV swarm problem, and the design of noise optimal aircraft and approach procedures.

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Aeronautics and Astronautics

Year

2015

Author dc:creator

• Subramanian, Shreyas Vathul

Contributors dc:contributor

• Daniel A DeLaurentis
• William Crossley
• Dengdeng Sun
• Michael Grant

• Aircraft
• Multi-disciplinary
• Multi-level
• Optimization

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/1319

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2535