Six dimensional trajectory solver for autonomous proximity operations
Abstract
This paper describes the development of one component of an autonomous proximity operations controller, the trajectory planner. The trajectory planner uses a modified gradient search to find a locally optimal trajectory from the initial state to the target state that does not violate any of the mission constraints (defined as the maximum time of flight for the operation, the maximum closing velocity allowed, and the obstacles in close proximity to the chase and target craft). The Clohessy-Wiltshire (1980) equations for relative position and quaternions for relative attitude are used to define a state-space relationship between the initial state and the final state as a function of time. The trajectory solver uses these equations to find the minimum fuel required to maneuver to a target position and attitude while evading moving obstacles. Example results and simulations are included for various initial conditions and maneuvering constraints.
- Publication:
-
AIAA Guidance, Navigation and Control Conference
- Pub Date:
- 1990
- Bibcode:
- 1990gnc..conf.1291S
- Keywords:
-
- Autonomous Navigation;
- Controllers;
- Spacecraft Maneuvers;
- Trajectory Control;
- Automatic Pilots;
- Equations Of Motion;
- Flight Simulation;
- Proximity;
- Space Missions;
- Space Communications, Spacecraft Communications, Command and Tracking