Sensitivity Analysis of Hybrid Propulsion Transportation System for Human Mars Expeditions
Autor: | Ryan T. Joyce, Min Qu, Patrick Chai, Raymond G. Merrill, Paul D. Kessler |
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Rok vydání: | 2017 |
Předmět: |
020301 aerospace & aeronautics
Engineering Ion thruster Spacecraft propulsion Payload business.industry In-space propulsion technologies 02 engineering and technology Mars Exploration Program Propulsion 01 natural sciences 0203 mechanical engineering Electrically powered spacecraft propulsion Marine propulsion 0103 physical sciences Aerospace engineering business 010303 astronomy & astrophysics |
Zdroj: | AIAA SPACE and Astronautics Forum and Exposition. |
DOI: | 10.2514/6.2017-5283 |
Popis: | The National Aeronautics and Space Administration continues to develop and refine various transportation options to successfully field a human Mars campaign. One of these transportation options is the Hybrid Transportation System which utilizes both solar electric propulsion and chemical propulsion. The Hybrid propulsion system utilizes chemical propulsion to perform high thrust maneuvers, where the delta-V is most optimal when ap- plied to save time and to leverage the Oberth effect. It then utilizes solar electric propulsion to augment the chemical burns throughout the interplanetary trajectory. This eliminates the need for the development of two separate vehicles for crew and cargo missions. Previous studies considered single point designs of the architecture, with fixed payload mass and propulsion system performance parameters. As the architecture matures, it is inevitable that the payload mass and the performance of the propulsion system will change. It is desirable to understand how these changes will impact the in-space transportation system's mass and power requirements. This study presents an in-depth sensitivity analysis of the Hybrid crew transportation system to payload mass growth and solar electric propulsion performance. This analysis is used to identify the breakpoints of the current architecture and to inform future architecture and campaign design decisions. |
Databáze: | OpenAIRE |
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