Flow-informed strategies for trajectory design and analysis
This research is focused on augmenting and extending classical dynamical methods by introducing flow-based methodologies into astrodynamical design and analysis. These flow-informed tools apply in extended phase spaces and through all levels of model fidelity. Thus, they apply where classical approaches begin to lose relevance and persist beyond this point. Such methodologies are common in various fields, and have recently began to receive significant attention within the astrodynamical community for design and analysis efforts. Trajectory design spaces are frequently vast and complex. In some cases, there are an infinite number of possibilities for particular solutions. Even after eliminating the infeasible choices, many options may still remain. Some strategies for selecting a candidate solution to incorporate into an astrodynamical design focus on simplification or reduction of the space. This approach has proven useful for many mission scenarios. However, such an approach, by its very nature, represents a potential loss of alternative solutions and may require reverting to the initial phases of the process when a new option is required. Approaches that reduce the distance from the initial design effort to its end result represent a potential improvement to the design process. Methods incorporating flow behaviors represent one such option where the understanding of the space is expanded and additional solutions are revealed.
Howell, Purdue University.
Aerospace engineering|Computer science
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