Title :
Time-optimal reorientation of a spacecraft using a direct optimization method based on inverse dynamics
Author :
Boyarko, George A. ; Romano, Marcello ; Yakimenko, Oleg A.
Author_Institution :
Dept. of Mech. & Astronaut. Eng., Naval Postgrad. Sch., Monterey, CA, USA
Abstract :
This paper proposes a rapid attitude trajectory generation method for satellite reorientation that satisfies the spatial and temporal constraints imposed by the problem of docking with a tumbling object. The problem is first formulated and solved using known academic software readily used for generating optimal guidance trajectories off-line. Then, the problem is reformulated using a polynomial structure that lends itself to satisfying special mathematical constraints imposed by using a unit quaternion for orientation description. The speed profile of the maneuver is varied in order to arrive at a quasi-optimal solution that is both feasible and exactly matches the endpoint conditions specified in the problem. The reduction in the number of varied parameters due to the predetermined structure of the trajectory leads to a faster computational speed as well as having a trajectory that satisfies the end constraints at each iteration. The paper ends with a discussion of solutions obtained for several cases.
Keywords :
aerospace robotics; artificial satellites; attitude control; constraint theory; mobile robots; optimisation; position control; robot dynamics; time optimal control; direct optimization method; endpoint conditions; inverse dynamics; mathematical constraints; optimal guidance trajectories; polynomial structure; quasi optimal solution; rapid attitude trajectory generation method; satellite reorientation; spacecraft; spatial constraints; temporal constraints; time optimal reorientation; tumbling object; unit quaternion; Aerospace engineering; Gaussian processes; Low earth orbit satellites; Military satellites; Optimal control; Optimization methods; Polynomials; Quaternions; Satellite ground stations; Space vehicles;
Conference_Titel :
Aerospace Conference, 2010 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4244-3887-7
Electronic_ISBN :
1095-323X
DOI :
10.1109/AERO.2010.5446726