Entry and Descent Modeling for DAVINCI
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Matthew Andreini↗
Engineering topics
Matthew Andreini
Publications and source records attributed to Matthew Andreini.
Results from the Helicopter Drop Test of the DAVINCI Descent Sphere
This paper summarizes the October 2023 helicopter drop test of the descent sphere of the upcoming Deep Atmosphere Venus Investigation of Noble gases, Chemistry, and Imaging mission to Venus. The drop test met its primary objectives of recording acceleration, attitude rates, and camera data during the 30-second descent at Utah Test and Training Range. The recorded inertial measurement unit and global position sensor receiver data has allowed a six degree-of-freedom reconstruction of the vehicle position, velocity, attitude, and attitude rates, as well as derived aerodynamic coefficients. Initial comparisons show good agreement between the reconstruction and the pre-flight models of the descent sphere being used by the Venus mission. The reconstructed aerodynamic coefficients from the drop test can inform updates to the aerodynamic model to be used for the actual Venus mission.
Soumyo Dutta↗
Shape Approximation in Camera Fields of View for Parachute Visibility Applications
The ability to simulate camera line of sight and field of view is a powerful capability for flight mechanics simulations. This paper improves upon an existing camera visibility implementation that leverages geometry to estimate parachute visibility from a singular point by introducing a shape discretization method. The new method approximates a shape as a set of analytical points relative to a target marker within any number of camera fields of view. The method is developed in such a way to be generalized to a myriad of spacecraft applications. This effort focuses on an implementation to simulate parachute canopy visibility within the combined field of view of three cameras but additional applications are discussed. Monte Carlo analysis is used to assess the parachute canopy visibility example and demonstrate its improved performance over the previous method.
Evan Roelke↗
Shape Approximation in Camera Fields of View for Parachute Visibility Applications
The ability to simulate camera line of sight and field of view is a powerful capability for flight mechanics simulations. This paper improves upon an existing camera visibility implementation that leverages geometry to estimate parachute visibility from a singular point by introducing a shape discretization method. The new method approximates a shape as a set of analytical points relative to a target marker within any number of camera fields of view. The method is developed in such a way to be generalized to a myriad of spacecraft applications. This effort focuses on an implementation to simulate parachute canopy visibility within the combined field of view of three cameras but additional applications are discussed. Monte Carlo analysis is used to assess the parachute canopy visibility example and demonstrate its improved performance over the previous method.
Evan Roelke↗