Supplemental material for An open-source, stochastic, six-degrees-of-freedom rocket flight simulator, with a probabilistic trajectory analysis approach
Supplemental material for An open-source, stochastic, six-degrees-of-freedom rocket flight simulator, with a probabilistic trajectory analysis approach
Dataset supporting the Scitech 2017 conference paper.
Predicting the flight-path of an unguided rocket can help overcome unnecessary risks. Avoiding residential areas or a car-park can improve the safety of launching a rocket significantly. Furthermore, an accurate landing site prediction facilitates recovery.
This paper introduces a six-degrees-of-freedom flight simulator for small, solid-fuelled, unguided rockets. The open-source software package assists the user with the design of rockets, and its simulation core models both the rocket flight and the parachute descent in stochastic wind conditions.
Furthermore, the uncertainty in the input variables propagates through the model via a Monte-Carlo wrapper, simulating a range of possible flight conditions.
The resulting trajectories are captured as a Gaussian process, which assists in the statistical assessment of the flight conditions in the face of uncertainties, such as changes in wind conditions, failure to deploy the parachute, and variations in thrust.
This approach also facilitates concise presentation of such uncertainties via visualisation of trajectory ensembles.
University of Southampton
Eerland, Willem
7f5826c3-536f-4fdc-955e-0f9870c96a0e
Box, Simon
2bc3f3c9-514a-41b8-bd55-a8b34fd11113
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Sobester, Andras
096857b0-cad6-45ae-9ae6-e66b8cc5d81b
Eerland, Willem
7f5826c3-536f-4fdc-955e-0f9870c96a0e
Box, Simon
2bc3f3c9-514a-41b8-bd55-a8b34fd11113
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Sobester, Andras
096857b0-cad6-45ae-9ae6-e66b8cc5d81b
Eerland, Willem, Box, Simon, Fangohr, Hans and Sobester, Andras
(2016)
Supplemental material for An open-source, stochastic, six-degrees-of-freedom rocket flight simulator, with a probabilistic trajectory analysis approach.
University of Southampton
doi:10.5258/SOTON/403364
[Dataset]
Abstract
Dataset supporting the Scitech 2017 conference paper.
Predicting the flight-path of an unguided rocket can help overcome unnecessary risks. Avoiding residential areas or a car-park can improve the safety of launching a rocket significantly. Furthermore, an accurate landing site prediction facilitates recovery.
This paper introduces a six-degrees-of-freedom flight simulator for small, solid-fuelled, unguided rockets. The open-source software package assists the user with the design of rockets, and its simulation core models both the rocket flight and the parachute descent in stochastic wind conditions.
Furthermore, the uncertainty in the input variables propagates through the model via a Monte-Carlo wrapper, simulating a range of possible flight conditions.
The resulting trajectories are captured as a Gaussian process, which assists in the statistical assessment of the flight conditions in the face of uncertainties, such as changes in wind conditions, failure to deploy the parachute, and variations in thrust.
This approach also facilitates concise presentation of such uncertainties via visualisation of trajectory ensembles.
Archive
paper_2017_scitech_supplement.zip
- Dataset
More information
Published date: 2016
Organisations:
Education Hub, Transportation Group, Civil Maritime & Env. Eng & Sci Unit, Computational Engineering & Design Group, Southampton Marine & Maritime Institute
Projects:
Rocket Trajectory Prediction Problems
Funded by: UNSPECIFIED (1504104)
7 July 2014 to 6 July 2017
Identifiers
Local EPrints ID: 403364
URI: http://eprints.soton.ac.uk/id/eprint/403364
PURE UUID: 76e25c20-6db0-4dbf-a39e-b0ea6360fa0a
Catalogue record
Date deposited: 01 Dec 2016 17:31
Last modified: 05 Nov 2023 02:38
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Contributors
Creator:
Willem Eerland
Creator:
Simon Box
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