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Coupled low-thrust trajectory and system optimization via multi-objective hybrid optimal control
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Vavrina, Matthew A. Englander, Jacob Aldo Ghosh, Alexander R. |
| Copyright Year | 2015 |
| Description | The optimization of low-thrust trajectories is tightly coupled with the spacecraft hardware. Trading trajectory characteristics with system parameters ton identify viable solutions and determine mission sensitivities across discrete hardware configurations is labor intensive. Local independent optimization runs can sample the design space, but a global exploration that resolves the relationships between the system variables across multiple objectives enables a full mapping of the optimal solution space. A multi-objective, hybrid optimal control algorithm is formulated using a multi-objective genetic algorithm as an outer loop systems optimizer around a global trajectory optimizer. The coupled problem is solved simultaneously to generate Pareto-optimal solutions in a single execution. The automated approach is demonstrated on two boulder return missions. |
| File Size | 1893809 |
| Page Count | 24 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20150000810 |
| Archival Resource Key | ark:/13960/t6xw9dz92 |
| Language | English |
| Publisher Date | 2015-01-13 |
| Access Restriction | Open |
| Subject Keyword | Spacecraft Systems Optimization Low Thrust Trajectory Algorithms Launch Vehicles Systems Engineering Optimal Control Tradeoffs Mission Planning Trajectories Hybrid Propulsion Low Thrust Spacecraft Design Trajectory Optimization Genetic Algorithms Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Presentation |
