A guidance strategy for autonomous spacecraft formation reconfiguration maneuvers solves the linked assignment and delivery problems. First, the member spacecraft in the formation are each assigned to their new positions in the desired formation geometry. The guidance algorithm then employs an auction process, with estimates for the maneuvers and times-of-flight, that minimize a specific expense function for the formation. To guide the spacecraft to their assigned positions, the first of two guidance schemes is based on artificial potential functions (APF). Using relative distances between the spacecraft, targets, and any obstacles, the APF approach yields maneuvers based on gradients of th e potential field. The second delivery scheme leverages model predictive control. The guidance algorithm uses an analytical linearized approximation of the relative orbital dynamics, the Yamanaka-Ankersen state transition matrix, in the auction process and in both delivery methods. The proposed guidance strategy is successful, in simulations, in autonomously assigning the members of the formation to new positions and in delivering the spacecraft to these new positions safely using both delivery methods.
Space Platforms and Operations Technologies
2018
42 pages
Report
No indication
English
Algebra, Analysis, Geometry, & Mathematical Logic , Unmanned Spacecraft , Control systems , Geometry , Spacecraft components , Spacecraft trajectories , Algorithms , Robots , Autonomous guidance , Relative motion , Equations of motion , Motion planning , Model predictive control , Guidance , Spacecraft , Adaptive artificial potential function , Artificial potential functions , Multiple-target apf , Single target apf , Spacecraft formation flying , model predictive control , mpc and formation reorientation
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