Robust Constrained Attitude Control with Resource Optimal Actuator Management
Abstract
University of Texas Grant #: FA9453-15-1-0303 “Robust Constrained Attitude Control with Resource Optimal Actuator Management” Abstract The objective of this proposal is to develop a real-time convex optimization based methodology and onboard algorithms for constrained attitude control with optimal actuator utilization. Constrained attitude control involves both generating and tracking a compliant attitude trajectory. A challenging aspect of constrained attitude control problems lies in obtaining trajectories that conform to pointing constraints. Common pointing constraints are caused by sensitive sensors that must avoid the Sun or sensors that must be aimed at a target (e.g., pointing a sensor at another spacecraft for a rendezvous, or point a sensor at a surface feature during a flyby). Pointing constraints can also be derived from plume impingement concerns. In Formation Flying, Primitive Body Proximity Operations, and Autonomous Rendezvous and Docking, with application to on-orbit inspection, thruster plume impingement must be avoided on other spacecraft or on the science site. Furthermore, there are limitations on the amount of power, fuel, and torque that are available at any given time, that is, overall attitude controllability is constrained. Developing robust autonomous methods to achieve mission goals in the presence of the above constraints makes constrained attitude control a challenging problem, and the focus of the proposed research.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 18, 2016
- Source ID
- FA94531510303
Entities
People
- Behçet Açıkmeşe
Organizations
- Air Force Research Laboratory
- United States Air Force
- University of Texas at Austin