2020
DOI: 10.2514/1.b37722
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Analytical Framework for Staging of Space Propulsion Systems

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Cited by 6 publications
(5 citation statements)
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“…Finally, there exists an ambiguity on how to determine the lifetime of a stage based on the lifetime of the individual thrusters; the lifetime of a stage could be taken as the lifetime of the shortest-lived thruster on the stage, or a more nuanced approach could be taken where the lifetime is defined as a balance between maximizing total impulse output of the stage and maximizing the overall thrust (in order to minimize mission time) as is considered in Ref. [21].…”
Section: Redundancy Via Stagingmentioning
confidence: 99%
“…Finally, there exists an ambiguity on how to determine the lifetime of a stage based on the lifetime of the individual thrusters; the lifetime of a stage could be taken as the lifetime of the shortest-lived thruster on the stage, or a more nuanced approach could be taken where the lifetime is defined as a balance between maximizing total impulse output of the stage and maximizing the overall thrust (in order to minimize mission time) as is considered in Ref. [21].…”
Section: Redundancy Via Stagingmentioning
confidence: 99%
“…The drawback of using a stage-based approach is that it increases the mass and volume of the propulsion system over that of a conventional, "single-stage" system. Analytical methodologies for determining the required number of stages for a given mission, which sets the overall propulsion system mass and volume, are developed in [23]. For a mission, defined by its ∆V, the required number of stages, N , is…”
Section: Propulsionmentioning
confidence: 99%
“…Methods that target maneuver detection for an uncooperative spacecraft that performs maneuvers at an unknown time [20,21] or when telemetry may not be available during the maneuver [22,23] often leverage filtering which limits the reconstruction of earlier portions of the propulsion system thrust and may not efficiently use all available information. As such, methods directly targeted at thrust estimation for cooperative spacecraft based on iterative batch filters [24] or the ensemble Kalman update [25] have also been analyzed and both show promising results.…”
Section: Introductionmentioning
confidence: 99%
“…Both Refs. [24] and [25] require the use of multiple numerical simulations of the spacecraft trajectory-either for each iteration of the batch filter [24] or to estimate the optimal Kalman gain with ensemble approaches [25]-which can be computationally expensive, especially for high-fidelity models. Instead, this paper takes a more analytical approach to the thrust inference problem where only a single simulation of the spacecraft trajectory is required as a reference for a linear update to the propulsive acceleration profile.…”
Section: Introductionmentioning
confidence: 99%