Launch pad alignment of a strapdown navigator by the Kalman filter

Bellantoni, Juan F.; Koenke, E. J.

doi:10.2514/6.1968-831

Cited by 2 publications

(2 citation statements)

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“…The Planet class contains reference data about the body from which the simulated vehicle is launching, including latitude, longitude, altitude, eccentricity, and rotation data, as well as a wrapped SphericalGravity class to act as a gravity model. The TNS_Engine is used to provide twist and sway dispersions to the truth trajectory during the on-pad mission phase similar to that in [11]. The RNG class supplies the start-of-run dispersions to the other classes (e.g.…”

Section: Simulation Developmentmentioning

confidence: 99%

“…Each of these platforms were assessed to determine their capability to gyrocompass. Assuming no external measurements, the analysis focused on the use of coarse alignment algorithms to provide an estimate of the vehicle's initial attitude similar to [11]. The capability of the sensors to execute these algorithms is tightly tied to the ability to measure the vehicle's inertial angular rate while static on the surface.…”

Section: A Inertial Alignmentmentioning

confidence: 99%

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Navigation Requirements Development and Performance Assessment of a Martian Ascent Vehicle

Anzalone

Johnston

Legett

et al. 2018

2018 AIAA SPACE and Astronautics Forum and Exposition

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To support development of Martian Ascent Vehicles, analysis tools are needed to support the development of Guidance, Navigation, and Control requirements. This paper presents a focused approach to Navigation analysis to capture development of requirements on initial state knowledge and inertial sensor capabilities. A simulation and analysis framework was used to assess the capability of a range of sensors to operate inertially along a range of launch trajectories. The baseline Martian Ascent Vehicle was used as the input for optimizing a set of trajectories from each launch site. These trajectories were used to perform Monte Carlo analysis dispersing error sensor terms and their effects on integrated vehicle performance. Additionally, this paper provides insight into the use of optical navigation techniques to assess state determination and the potential to use observations of local extraplanetary bodies to estimate state. This paper provides an initial level of performance assessment of navigation components to support continued requirements development of a Martian Ascent Vehicle with applications to both crew and sample return missions.

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Section: Simulation Developmentmentioning

confidence: 99%

Section: A Inertial Alignmentmentioning

confidence: 99%