SBIR/STTR Research Award

Dynamically Leveraged Automated (N) Multibody Trajectory Optimization

Award identifier 0c0ab92b1b88af1f08461a16e19fa600a692b9d9fa130b798f6f7807de34a6edAwarding agency National Aeronautics and Space Administration

Award amount

$754,947

Program and phase

SBIR · Phase II

Award year

2019

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
CU AEROSPACE L.L.C.
Proposal award date
2019-08-14
Contract end date
2021-08-13
UEI
X95KNGLAEMH7
Solicitation number
SBIR_18_P2
Topic code
H9

Research abstract

CU Aerospace (CUA) proposes further development of the Dynamically Leveraged Automated (N) Multibody Trajectory Optimization (DyLAN) tool, which solves impulsive and low-thrust global optimization problems in multibody regimes, and can do so in an automated fashion. NASA and commercial entities are in need of advanced methods that allow for rapid analysis of complex optimal trajectory problems, so that the most informed decisions with regard to mission design can be made at an early stage in the planning process. This includes having a solver that can intelligently search the large problem space, do so quickly, and with a great enough level of fidelity to ensure that the trajectory can be continued to a flight fidelity level. Advanced optimization tools for the low-thrust multibody problem do not currently exist, yet this regime is seen in numerous mission designs. In Phase I, CUA demonstrated that the solution approach taken by DyLAN produces significant results, finding unintuitive optimal solutions rapidly and without the need for the userrsquo;s oversight. During Phase II, CUA will improve the global and local optimization capabilities of DyLAN, so that a wider breadth of problems can be solved and brought to higher physics fidelity. These internal improvements will complement DyLANrsquo;s proposed ability to harness NASArsquo;s open source GMAT and CSALT tools for additional capabilities; including the ability for export into GMAT. These features will provide a mission analysts with the capability to extend or continue any interplanetary solution with ease into a multibody domain. The parallel computing capabilities of DyLAN will be further extended, so that larger search spaces and more difficult problems can be solved quickly. DyLAN will also undergo both internal and external beta-testing; by industry and NASA. Phase I has proven the viability of the approach and the capacity for further improvement, with Phase II, a full scale software prototype will be delivered.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

81 SBIR/STTR records share this UEI (2000–2024). Reported award amounts total $28,240,718. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Aeronautics and Space Administration, Department of Defense, Department of Energy, National Science Foundation

Agency intelligence

National Aeronautics and Space Administration

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