publication . Article . Software Paper . 2017

Cambridge Rocketry Simulator – A Stochastic Six-Degrees-of-Freedom Rocket Flight Simulator

Willem J. Eerland; Simon Box; András Sóbester;
Open Access English
  • Published: 21 Feb 2017
  • Country: United States
Abstract
The Cambridge Rocketry Simulator can be used to simulate the flight of unguided rockets for both design and operational applications. The software consists of three parts: The first part is a GUI that enables the user to design a rocket. The second part is a verified and peer-reviewed physics model that simulates the rocket flight. This includes a Monte Carlo wrapper to model the uncertainty in the rocket’s dynamics and the atmospheric conditions. The third part generates visualizations of the resulting trajectories, including nominal performance and uncertainty analysis, e.g. a splash-down region with confidence bounds. The project is available on SourceForge, ...
Subjects
ACM Computing Classification System: ComputerApplications_COMPUTERSINOTHERSYSTEMS
free text keywords: aerospace;computer science, Java; C++; Python; rocket; simulation; simulator; stochastic; design, Java, C++, Python, rocket, simulation, simulator, stochastic, design, Computer software, QA76.75-76.765, business.product_category, business, Six degrees of freedom, Software, business.industry, Computer science, Flight simulator, Monte Carlo method, Visualization, Uncertainty analysis, Python (programming language), computer.programming_language, computer

8. Chudinov, P S 2003 “Analytical investigation of point 10. Courtney, M and Courtney, A 2009 “Measuring 11. Eerland, W J, Box, S and Sóbester, A 2016 “Modeling 14. Niskanen, S 2013 OpenRocket technical documentation.

16. Rogers, J 2014 “Stochastic Model Predictive Control In: Journal of Dynamic Systems, Measurement, and Control 137.3 (Oct.), pp. 034503-8. DOI: https://doi.

3. BBC 2011 Rocket launch for Bolton students on Mull org/10.1115/1.4028084 18. Squad 2011 Kerbal Space Program. URL: http://www.

5. Box, S, Bishop, C and Hunt, H 2010 “Stochastic

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Abstract
The Cambridge Rocketry Simulator can be used to simulate the flight of unguided rockets for both design and operational applications. The software consists of three parts: The first part is a GUI that enables the user to design a rocket. The second part is a verified and peer-reviewed physics model that simulates the rocket flight. This includes a Monte Carlo wrapper to model the uncertainty in the rocket’s dynamics and the atmospheric conditions. The third part generates visualizations of the resulting trajectories, including nominal performance and uncertainty analysis, e.g. a splash-down region with confidence bounds. The project is available on SourceForge, ...
Subjects
ACM Computing Classification System: ComputerApplications_COMPUTERSINOTHERSYSTEMS
free text keywords: aerospace;computer science, Java; C++; Python; rocket; simulation; simulator; stochastic; design, Java, C++, Python, rocket, simulation, simulator, stochastic, design, Computer software, QA76.75-76.765, business.product_category, business, Six degrees of freedom, Software, business.industry, Computer science, Flight simulator, Monte Carlo method, Visualization, Uncertainty analysis, Python (programming language), computer.programming_language, computer

8. Chudinov, P S 2003 “Analytical investigation of point 10. Courtney, M and Courtney, A 2009 “Measuring 11. Eerland, W J, Box, S and Sóbester, A 2016 “Modeling 14. Niskanen, S 2013 OpenRocket technical documentation.

16. Rogers, J 2014 “Stochastic Model Predictive Control In: Journal of Dynamic Systems, Measurement, and Control 137.3 (Oct.), pp. 034503-8. DOI: https://doi.

3. BBC 2011 Rocket launch for Bolton students on Mull org/10.1115/1.4028084 18. Squad 2011 Kerbal Space Program. URL: http://www.

5. Box, S, Bishop, C and Hunt, H 2010 “Stochastic

Related research
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