Autonomous Multi-phase Rendezvous, Proximity Operations, and Docking via Model Predictive Control

Kaczmarek, J.; Zagaris, Costantinos

doi:10.1109/aero55745.2023.10115983

Cited by 1 publication

(1 citation statement)

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“…Moreover, common constraints like keep-outzones and thrust limitations can be easily incorporated into the optimization process [13]. At the same time, model predictive control algorithms have been proven to be a viable option for use in space applications, particularly in rendezvous, proximity operations, and docking missions [14,15]. These controllers can generate suboptimal trajectories in highly constrained environments, operating in a closed-loop fashion.…”

Section: Introductionmentioning

confidence: 99%

Simplified Maneuvering Strategies for Rendezvous in Near-Circular Earth Orbits

Costigliola,

Casalino

2023

Aerospace

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The development of autonomous guidance control and navigation systems for spacecraft would greatly benefit applications such as debris removals or on-orbit servicing, where human intervention is not practical. Within this context, inspired by Autonomous Vision Approach Navigation and Target Identification (AVANTI) demonstration, this work presents new guidance algorithms for rendezvous and proximity operations missions. Analytical laws are adopted and preferred over numerical methods, and mean relative orbital elements are chosen as state variables. Application times, magnitudes and directions of impulsive controls are sought to minimize propellant consumption for the planar reconfiguration of the relative motion between a passive target spacecraft and an active chaser one. In addition, simple and effective algorithms to evaluate the benefit of combining in-plane and out-of-plane maneuvers are introduced to deal with 3D problems. The proposed new strategies focus on maneuvers with a dominant change in the relative mean longitude (rarely addressed in the literature), but they can also deal with transfers where other relative orbital elements exhibit the most significant variations. A comprehensive parametric analysis compares the proposed new strategies with those employed in AVANTI and with the global optimum, numerically found for each test case. Results are similar to the AVANTI solutions when variations of the relative eccentricity vector dominate. Instead, in scenarios requiring predominant changes in the relative mean longitude, the required ΔV exhibits a 49.88% reduction (on average) when compared to the original methods. In all the test cases, the proposed solutions are within 3.5% of the global optimum in terms of ΔV. The practical accuracy of the presented guidance algorithms is also tested with numerical integration of equations of motion with J2 perturbation.

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Section: Introductionmentioning

confidence: 99%