COMPUTATIONAL FRAMEWORK FOR RAPID OPTIMAL SPACE AND ATMOSPHERIC FLIGHT MISSION PLANNING

October 18, 2019 in News & Media

  • Title of project: Computational Framework for Rapid Optimal Space and Atmospheric Flight Mission Planning
  • Funding Agency: Office of Naval Research/U.S. Air Force
  • Description: The objective of the research is to develop a framework for optimal control using advanced collocation methods, nonlinear optimization, and algorithmic differentiation in order to enable solving applications in high speed atmospheric flight and space flight mechanics.  Applications will include hypersonic flight (ascent and entry), uninhabited aerial vehicles (UAVs), and space flight orbital transfer.  
  • Restrictions/Constraints: Open To US Citizens Only
  • Knowledge and skills Needed: Understanding of basic Newton-Euler dynamics, control systems, and programming in MATLAB.  It is desirable that the student has an understanding of computer science algorithms and data structures (as would have been taught in an introductory programming course in C or C++)
  • How to apply: Send CV and short research interest statement to Dr. Anil V. Rao
  • Faculty contact/webpage: Dr. Anil V. Rao, anilvrao@ufl.edu, http://www.anilvrao.com or http://vdol.mae.ufl.edu