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Mission and system optimization of nuclear electric propulsion vehicles for lunar and mars missions
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Gilland, James H. |
| Copyright Year | 1991 |
| Description | The detailed mission and system optimization of low thrust electric propulsion missions is a complex, iterative process involving interaction between orbital mechanics and system performance. Through the use of appropriate approximations, initial system optimization and analysis can be performed for a range of missions. The intent of these calculations is to provide system and mission designers with simple methods to assess system design without requiring access or detailed knowledge of numerical calculus of variations optimizations codes and methods. Approximations for the mission/system optimization of Earth orbital transfer and Mars mission have been derived. Analyses include the variation of thruster efficiency with specific impulse. Optimum specific impulse, payload fraction, and power/payload ratios are calculated. The accuracy of these methods is tested and found to be reasonable for initial scoping studies. Results of optimization for Space Exploration Initiative lunar cargo and Mars missions are presented for a range of power system and thruster options. |
| File Size | 1078597 |
| Page Count | 18 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19920005906 |
| Archival Resource Key | ark:/13960/t7pp40w5d |
| Language | English |
| Publisher Date | 1991-12-01 |
| Access Restriction | Open |
| Subject Keyword | Spacecraft Propulsion And Power Orbital Mechanics Electric Propulsion Low Thrust Propulsion Transfer Orbits Nuclear Electric Propulsion Mars Planet Mission Planning Specific Impulse Space Exploration Trajectory Optimization Lunar Exploration Spacecraft Propulsion Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
