AIAA Guidance, Navigation, and Control Conference 2016
DOI: 10.2514/6.2016-0876
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An Inverse Dynamics-Based Trajectory Planner for Autonomous Docking to a Tumbling Target

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Cited by 16 publications
(13 citation statements)
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“…The relative attitude has been transformed to attitude angles φ , θ and ψ , which represent roll, pitch and yaw angles, respectively. As can be seen, the attitude tracking errors decay to a much smaller level of steady error less than 4 10 rad − within the prescribed terminal time t f =500s, and the pursuer is actuated by the thrusters to the desired position with steady accuracy better than 3 3 10 m −…”
Section: A Simulation Scenario Without Actuator Faultsmentioning
confidence: 96%
See 1 more Smart Citation
“…The relative attitude has been transformed to attitude angles φ , θ and ψ , which represent roll, pitch and yaw angles, respectively. As can be seen, the attitude tracking errors decay to a much smaller level of steady error less than 4 10 rad − within the prescribed terminal time t f =500s, and the pursuer is actuated by the thrusters to the desired position with steady accuracy better than 3 3 10 m −…”
Section: A Simulation Scenario Without Actuator Faultsmentioning
confidence: 96%
“…satellite, and other space missions [1][2][3]. In 1998, the Engineering Test Satellite-VII (ETS-VII) successfully achieved the autonomous rendezvous and docking between two unmanned satellites under the funding and direction of Japan's National Space Development Agency, indicating that the autonomous technology is indeed feasible [4].…”
Section: Introductionmentioning
confidence: 99%
“…Some of the previous researches focused on the optimization methods. 1,[10][11][12] Jacobsen et al 11 presented a heuristic method and a general numerical optimization technique to plan safe kinematic trajectories for free flying robots approaching an uncontrolled spinning satellite. Boyarko et al 10 developed a sixdegrees-of-freedom (DOF) guidance laws for the rendezvous model of a controlled spacecraft and a tumbling object based on the inverse dynamics in the virtual domain method, and minimizes a series of performance indices.…”
Section: Introductionmentioning
confidence: 99%
“…A unified optimal control framework contained the control of position, attitude, and flexible motion was presented, which addressed the control of spacecraft to approach and align with a tumbling target. 1 Jacopo Ventura et al 12 developed an inverse dynamics-based trajectory planning algorithm for minimum-energy, and the problem was converted into an equivalent nonlinear programming problem by parameterized the trajectory. Those studies have developed some solutions for approaching a certain tumbling target.…”
Section: Introductionmentioning
confidence: 99%
“…Another combined guidance and control method developed for docking maneuvers is Inverse Dynamics-Based Trajectory Planning, such as proposed by Ventura et al [11]. Using this method, the docking problem is characterized by a high-order polynomial, and is inverted to be solved as a nonlinear programming problem using solvers such as the Sparse Nonlinear OPTimizer (SNOPT).…”
mentioning
confidence: 99%