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Multi-objective hybrid optimal control for multiple-flyby low-thrust mission design
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Vavrina, Matthew A. Englander, Jacob A. Ghosh, Alexander R. |
| Copyright Year | 2015 |
| Description | Preliminary design of low-thrust interplanetary missions is a highly complex process. The mission designer must choose discrete parameters such as the number of flybys, the bodies at which those flybys are performed, and in some cases the final destination. In addition, a time-history of control variables must be chosen that defines the trajectory. There are often many thousands, if not millions, 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 mission design problem as a multi-objective hybrid optimal control problem. The method is demonstrated on a hypothetical mission to the main asteroid belt. |
| File Size | 495892 |
| Page Count | 20 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20150000813 |
| Archival Resource Key | ark:/13960/t4bp53368 |
| Language | English |
| Publisher Date | 2015-01-11 |
| Access Restriction | Open |
| Subject Keyword | Optimization Low Thrust Trajectory Design Low Thrust Propulsion Multivariable Control Control Systems Design Trajectory Optimization Interplanetary Flight Interplanetary Trajectories Accuracy Algorithms Cost Effectiveness Optimal Control Flyby Missions Mission Planning Trajectory Analysis Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
