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Multi-objective hybrid optimal control for multiple-flyby interplanetary mission design using chemical propulsion (Document No: 20150020820)
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Vavrina, Matthew A. Englander, Jacob A. |
| Copyright Year | 2015 |
| Description | Preliminary design of high-thrust interplanetary missions is a highly complex process. The mission designer must choose discrete parameters such as the number of flybys and the bodies at which those flybys are performed. For some missions, such as surveys of small bodies, the mission designer also contributes to target selection. In addition, real-valued decision variables, such as launch epoch, flight times, maneuver and flyby epochs, and flyby altitudes must be chosen. There are often many thousands of possible trajectories to be evaluated. The customer who commissions a trajectory design is not usually interested in a point solution, but rather the exploration of the trade space of trajectories between several different objective functions. This can be a very expensive process in terms of the number of human analyst hours required. An automated approach is therefore very desirable. This work presents such an approach by posing the impulsive mission design problem as a multiobjective hybrid optimal control problem. The method is demonstrated on several real-world problems. |
| File Size | 1394350 |
| Page Count | 20 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20150020820 |
| Archival Resource Key | ark:/13960/t2d84b751 |
| Language | English |
| Publisher Date | 2015-08-09 |
| Access Restriction | Open |
| Subject Keyword | Trajectory Design Optimization Interplanetary Trajectories Propellants Algorithms Optimal Control Flyby Missions Mission Planning Space Exploration Equations of Motion Design Analysis Chemical 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 |
