Optimal Control Based Six Degree-of-Freedom Mission-Planning for Reentry Trajectories

Abstract

Traditional reentry dynamics and planning has typically explored 3 Degrees-of-Freedom (3 DOF) or pseudo 6-DoF problem formulations. This research expands upon previous work and presents a path-constrained optimal control formulation of a fully 6 Degrees-of-Freedom (3 DOF) dynamic system for an unpowered Reentry Vehicle (RV). In a full 6-DoF dynamic system, the translation, rotation and rotational rates are continually tracked. A system of equations of motion are developed to express the dynamics of the RV in terms of defined states and the RVs physical control deflections. A neural-network is used to approximate the aerodynamic database of an exemplary RV. The resulting highly non-linear dynamic system is generalized such that it could be directly adapted to a given reentry body such as Maneuvering Reentry Vehicle (MaRVs) or a Hypersonic Glide Vehicles (HGV) with appropriate inputs.

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Document Details

Document Type
Technical Report
Publication Date
May 17, 2021
Accession Number
AD1146498

Entities

People

  • Peter Davis

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerospace Craft
  • Air Force
  • Artificial Intelligence
  • Atmospheric Density
  • Computational Science
  • Coordinate Systems
  • Engineering
  • Equations Of Motion
  • Geometry
  • Hypersonic Glide Vehicles
  • Linear Programming
  • Mach Number
  • Neural Networks
  • Optimization
  • Physical Properties
  • Spacecraft
  • United States

Fields of Study

  • Physics

Readers

  • Control Systems Engineering.
  • Missile Defense Systems.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Hypersonics