An Application of the A* Search to Trajectory Optimization

Abstract

As space operations become more complex and ambitious, there is a corresponding increase in the sophistication required of on-board algorithms for proximity operations. Unmanned missions such as planetary probes require sophisticated algorithms to deal with evolving mission requirements and contingencies, where man-in-the-loop control will be impractical. Other future missions that require autonomy for safety or security reasons will also require intelligent on-board controllers. This effort discusses a structure for a candidate proximity operations controller and provides initial development of an intelligent trajectory planner in three degrees of freedom using the A * Node Search technique.

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Document Details

Document Type
Technical Report
Publication Date
May 11, 1990
Accession Number
ADA224677

Entities

People

  • Craig K. Niiya

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Astronautics
  • Circular Orbits
  • Collision Avoidance
  • Computational Science
  • Control Systems
  • Coordinate Systems
  • Differential Equations
  • Mechanics
  • Optimization
  • Orbital Mechanics
  • Simulators
  • Space Shuttles
  • Space Systems
  • Space Transportation
  • Spacecraft

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Space Exploration and Orbital Mechanics.
  • Systems Analysis and Design

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs
  • Space
  • Space - Spacecraft Maneuvers